GITNUXSOFTWARE ADVICE
Technology Digital MediaTop 10 Best Photo Sharpening Software of 2026
Top 10 photo sharpening software ranked by output quality and controls for editors. Includes Photopea, GIMP, and VanceAI.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
Photopea is the go-to pick if small teams want interactive, PSD-friendly sharpening right in the browser, whereas GIMP is a better fit for retouchers who prefer masked, repeatable sharpening control inside a manual workflow, and Capture One works best when you need repeatable output sharpening presets in a RAW-first editor.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Photopea
Layer-based masking around sharpening so edge halos can be limited to chosen regions.
Built for fits when small teams need interactive sharpening with PSD-friendly layer workflows..
GIMP
Editor pickNon-destructive sharpening via layer masks combined with adjustable unsharp mask and high-pass passes.
Built for fits when retouching teams want masked, repeatable sharpening control inside a manual editor workflow..
VanceAI
Editor pickBatch-focused sharpening presets that keep enhancement consistent across large sets of mixed scenes.
Built for fits when photo teams need batch sharpening with repeatable output for web and quick print reviews..
Related reading
Comparison Table
Photopea
SMBBrowser-based image editor offering Unsharp Mask and Smart Sharpen equivalents.
Layer-based masking around sharpening so edge halos can be limited to chosen regions.
Photopea applies sharpening through layer-based edits, letting users keep masks, blend modes, and intermediate results in place while refining halos. Unsharp Mask and High Pass controls are paired with adjustable strengths and viewing aids so sharpening can be tuned against edge halos before export. PSD support makes it fit photo restoration jobs that need repeatable layer structure and handoff to other editors.
A key tradeoff is that Photopea lacks automation and a formal API surface, so batch preset sharpening and unattended throughput depend on manual repetition. Photopea fits single-shoot processing where the same sharpening style is applied across a small set and then manually verified for artifacts and edge halo risk.
- +Layer masks let sharpening target edges without global contrast lift
- +Unsharp Mask and High Pass give two practical sharpening paths
- +PSD import and export keep multi-layer restoration workflows intact
- +Browser editor avoids local install and supports quick retouch iterations
- –No documented automation workflow for true batch preset sharpening
- –High Pass tuning can introduce halos without careful masking
- –Limited control over 16-bit pipeline details versus dedicated editors
- –Lacks a plugin architecture for custom sharpening algorithms
Photo restoration editors
Rebuild detail on scanned prints
Cleaner detail recovery with fewer artifacts
Content teams
Prepare images for screen delivery
Crisper thumbnails and hero crops
Show 1 more scenario
Freelance photographers
Iterate capture sharpening quickly
Faster review rounds
Use browser editing to refine sharpening before client review and export multiple formats.
Best for: Fits when small teams need interactive sharpening with PSD-friendly layer workflows.
More related reading
GIMP
SMBOpen-source image editor with Unsharp Mask and high-pass filter sharpening.
Non-destructive sharpening via layer masks combined with adjustable unsharp mask and high-pass passes.
GIMP provides unsharp mask and high-pass filter as core sharpening operators, so sharpening can be tuned by amount and radius across different image types. Masking, selection, and layer blending modes allow edge halos to be reduced by limiting sharpening to selected luminance regions. The toolchain also handles 16-bit pipelines well enough for careful output sharpening for print and screen deliverables.
A key tradeoff is that GIMP does not provide built-in capture-sharpening or automatic focus stacking operators, so those steps require manual workflows or external plugins. GIMP fits when a photographer or retoucher needs controlled sharpening passes with artifact suppression using masks and layer workflows for a small to mid volume of images.
- +Unsharp mask and high-pass filter provide predictable sharpening tuning
- +Layer masks support halo-limited sharpening on selected luminance areas
- +16-bit per channel editing helps preserve gradients during sharpening
- +Plugin architecture enables custom sharpening tools and scripted automation
- –No built-in capture sharpening or focus stacking workflow automation
- –Artifact-free sharpening often needs manual masking setup
- –Batch sharpening can be slower than dedicated sharpening engines
- –RAW demosaic sharpening is indirect and depends on preprocessing workflow
Photo retouchers
Mask-based output sharpening for prints
Cleaner edges and fewer artifacts
Wedding photographers
Batch presets for screen delivery
More uniform deliverables
Show 1 more scenario
Product photographers
High-pass sharpening for texture recovery
Sharper perceived textures
Use high-pass sharpening to recover local contrast on static product details.
Best for: Fits when retouching teams want masked, repeatable sharpening control inside a manual editor workflow.
VanceAI
SMBAI image processing suite with dedicated sharpen and unblur modules.
Batch-focused sharpening presets that keep enhancement consistent across large sets of mixed scenes.
VanceAI provides an end-to-end sharpening flow for single images and batches, with adjustable strength to manage over-sharpening risk. Output tuning is geared toward everyday use where edge halos and noisy texture must stay visually controlled. The product experience favors a web-based pipeline that reduces the need for manual luminosity masking or layered edits.
A tradeoff appears in fine-grained control, since workflows that require deconvolution kernel selection or custom edge-aware masking need different tools. VanceAI fits when many similar images need capture sharpening for web posts or quick print readiness, and when consistent results matter more than pixel-level tuning.
- +Batch sharpening workflow reduces repeated manual edits
- +Strength control helps manage oversharp halos on busy edges
- +Export pipeline supports quick web-ready delivery
- +Consistent results across similar photos
- –Limited access to advanced sharpening math and parameters
- –Fine control workflows need external editing for masks
- –Artifact suppression is less predictable on extreme blur
- –Automation prioritizes presets over custom edge handling
Content marketers
Sharpen product photos for category pages
Cleaner thumbnails and stronger listings
Real estate photographers
Recover micro-contrast in interior shots
More readable room details
Show 2 more scenarios
E-commerce operations
Standardize sharpening across catalog uploads
Uniform catalog presentation
Uses the same sharpening intent for repeated products to maintain visual consistency.
Photo sharing teams
Batch enhance event images quickly
Faster posting with acceptable artifacts
Uses automated enhancement to speed turnaround from capture to publish.
Best for: Fits when photo teams need batch sharpening with repeatable output for web and quick print reviews.
ON1 Photo RAW
SMBAll-in-one photo editor with AI-driven NoNoise and sharpening modules.
Mask-aware sharpening in ON1 Photo RAW combines luminance masking with detail controls to target edges while limiting edge halos.
ON1 Photo RAW is a photo editor where sharpening is integrated into a RAW-first workflow that includes demosaic controls and layered adjustments. The sharpening tools target both global look and local edge detail using luminance-based masking so halos stay localized.
Edge handling is paired with output-focused sharpening so exported files match common viewing contexts. Batch work is driven through reusable adjustment presets that carry consistent sharpening settings across image sets.
- +Local sharpening control uses luminance masking to reduce halo spread
- +RAW-centric pipeline keeps sharpening decisions tied to exposure and contrast edits
- +Presets support consistent batch sharpening across large libraries
- +Output sharpening options help tune for screen and print workflows
- –Fine-tuning halo suppression can require extra iterations per image set
- –Deep deconvolution-style detail recovery is limited compared with specialized engines
- –Sharpening quality depends on correct noise handling before applying detail boosts
- –Plugin-based extensibility is narrower than editors built around third-party sharpening modules
Best for: Fits when photographers need consistent, mask-aware sharpening inside one RAW editing workflow.
Luminar Neo
SMBCreative photo editor with AI Supersharp extension for motion and focus correction.
Luminance-focused sharpening controls paired with masking to restrict sharpening to subject regions.
Luminar Neo applies sharpening through guided editing that targets edge clarity and local contrast in both RAW and rendered images. It combines a set of sharpening tools with masking controls so sharpening can be limited to subject areas.
The workflow also supports batch-style processing through presets, which helps when the same sharpening intent needs repeating across many photos. Output controls focus on preventing over-sharpening artifacts like halos by constraining intensity and using selective masks.
- +Mask-based sharpening reduces halo risk on background edges
- +RAW and rendered workflows support detail recovery with consistent controls
- +Batch preset workflows speed up repeating sharpening intent
- +Creative sharpening tools help fine-tune micro-contrast without full manual edits
- –Fine-grained deconvolution-style parameters remain limited versus specialist tools
- –Results can look unnatural on low-resolution files when masks are mis-tuned
- –Halo suppression relies heavily on masking discipline rather than automatic edge-aware tuning
- –Plugin-style extensibility is not the primary integration model for sharpening
Best for: Fits when photographers need guided sharpening with masking to manage edge artifacts.
Capture One
enterpriseProfessional RAW converter with grain and sharpening tools for tethered workflows.
Capture One’s dedicated capture sharpening plus output sharpening split lets the same image finish differently for screen versus print.
Capture One is a RAW-focused photo editor with sharpening controls tied directly to its local adjustment workflow. It supports capture sharpening and output sharpening so edits can be tuned for screen or print targets.
Its sharpening stack includes luminance-focused options and edge-aware behavior that helps reduce detail loss without driving global halos. The app also handles batch preset sharpening, which makes consistent sharpening across large sessions practical.
- +Capture sharpening and output sharpening controls in one workflow
- +Luminance-centric sharpening reduces color smearing when fine-tuned
- +Edge-aware sharpening behavior helps limit overshoot around contrast lines
- +Batch preset sharpening supports consistent results across many images
- –Halos still appear when radius and threshold are set too aggressively
- –Sharpening granularity relies on its built-in controls rather than advanced external engines
- –Less suited to deconvolution-style workflows and plugin-based sharpening engines
- –Sharpening calibration for prints needs manual tuning per output profile
Best for: Fits when teams need repeatable capture and output sharpening presets inside a RAW-first editor.
PaintShop Pro
SMBWindows photo editor with unsharp mask, high-pass sharpening, and AI-based image enhancement.
Layer-based edit workflow around sharpening lets changes combine with masks for targeted detail.
PaintShop Pro targets photo sharpening inside a general-purpose photo editor, which changes the workflow compared with dedicated batch-only sharpeners. The tool provides sharpening controls like unsharp mask and local contrast style adjustments, plus batch processing for repeating edits across many images.
It also supports RAW-centric editing and exports that preserve sharpened detail into common output sizes for print or screen workflows. Compared with niche sharpeners, it offers deeper creative and retouching context around the sharpening step.
- +Sharpening controls integrate into broader retouching and correction tools
- +Batch processing supports repeating the same sharpening workflow across sets
- +RAW editing workflow reduces format switching before sharpening
- +Export sharpening and resizing are usable for common print and screen targets
- –Fine control for edge-aware sharpening and halo masking is limited
- –Batch presets can be less granular than specialized deconvolution tools
- –Noise handling often requires manual masking or iterative tuning
- –Automation and API surface are not geared for server-side sharpening pipelines
Best for: Fits when photographers need sharpening plus general retouching in one editor.
RawTherapee
open-sourceOpen-source RAW developer with unsharp mask, RL deconvolution, and edge-aware sharpening.
Edge-aware masking and radius-based sharpening controls that target halos while keeping micro-contrast in luminance.
RawTherapee is a standalone RAW editor that prioritizes detailed, manual sharpening controls instead of a guided filter pipeline. It supports capture sharpening and output sharpening with 16-bit processing, plus local contrast tools that affect how edges look after detail enhancement.
The sharpening engine includes radius control, luminance-based masking options, and separate handling for luminance versus chroma noise behavior. Batch preset saving supports repeatable workflows across many images while keeping fine-tuned sharpening parameters per output goal.
- +Separate capture and output sharpening stages with distinct intent
- +Radius control plus masking options for reducing edge halos
- +16-bit pipeline preserves headroom for detail recovery work
- +Batch preset sharpening parameters for consistent large sets
- –Sharpening controls require careful tuning to avoid overcrisp edges
- –No built-in DAM integration for catalog-based editing
- –Limited automation tooling compared with scriptable editors
- –Steeper learning curve for luminance versus chroma sharpening behavior
Best for: Fits when photographers need repeatable, radius-and-mask-driven sharpening across batch RAW workflows.
PhotoDirector
SMBPhoto editor with image sharpening, AI enhancement, RAW support, and batch editing features.
Batch preset sharpening that preserves a tuned sharpening look across folders with repeatable settings.
PhotoDirector performs photo sharpening through local detail enhancement controls and edge-aware previewing in a standalone editor workflow. It targets both capture-style cleanup and creative output by combining contrast and detail adjustments, with options that help reduce visible haloing around high-contrast edges.
Sharpening can be applied as batch processing with reusable settings so large folders keep consistent look. The tool also supports plugin-based extensions, which can add sharpening and noise handling steps to the same edit pipeline.
- +Local sharpening controls make edge-specific tuning practical
- +Batch preset sharpening keeps folder results consistent
- +Plugin-based extensions can broaden sharpening and artifact handling steps
- +Live preview helps dial back halos on high-contrast subjects
- –Halo suppression depends heavily on manual tuning rather than automation
- –RAW demosaic sharpening workflows are limited versus dedicated RAW pipelines
- –Advanced artifact suppression options stay less granular than specialist editors
- –High throughput is weaker on very large batches than streamlined batch-first tools
Best for: Fits when photographers need a standalone editor that supports batch sharpening presets and plugin extensions.
Photo Ninja
vertical specialistRAW converter with detail enhancement, noise reduction, and sharpening controls.
Halo control via edge-aware sharpening that keeps crisp micro-contrast while limiting ringing on edges.
Photo Ninja targets photographers and editors who need repeatable sharpening without manual masking for every image. Core workflows include RAW-to-detail processing, local contrast enhancement, and output-oriented sharpening that separates screen and print results.
Batch processing with presets supports large photo sets where consistent edge detail matters. Image results focus on reducing common sharpening artifacts like edge halos while keeping fine texture readable.
- +Batch preset sharpening keeps look consistent across large image sets
- +Edge-aware sharpening reduces halo artifacts on high-contrast boundaries
- +RAW sharpening pipeline targets demosaic detail without manual per-image tuning
- +Output sharpening options support screen and print-specific workflows
- –Luminance masking controls can feel unintuitive for first-time users
- –Automations outside batch presets are limited compared with API-first tools
- –Complex multi-stage sharpening setups require careful parameter balancing
- –Fine control over chroma noise suppression is not a primary focus
Best for: Fits when photographers need batch-ready sharpening with artifact suppression for screen and print deliverables.
Conclusion
After evaluating 10 technology digital media, Photopea stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right photo sharpening software
Photo sharpening software targets edge clarity and micro-contrast using controllable sharpening methods like unsharp mask and high-pass, while minimizing artifacts such as edge halos and ringing. This guide covers Photopea, GIMP, VanceAI, ON1 Photo RAW, Luminar Neo, Capture One, PaintShop Pro, RawTherapee, PhotoDirector, and Photo Ninja based on how each tool applies masking, batching, and sharpening intent.
The biggest practical differences show up in workflow shape. Photopea and GIMP center sharpening around layer masks and interactive edits, while VanceAI and Photo Ninja focus on batch preset sharpening consistency across folders. Capture One splits capture sharpening from output sharpening for screen versus print finishing.
Photo sharpening software for edge-aware clarity, halo control, and batch output
Photo sharpening software is a toolchain for improving perceived detail by applying sharpening operations to images or RAW exports, then managing where those operations affect transitions like high-contrast boundaries. Software like Photopea and GIMP emphasizes masking-driven, layer-based sharpening so halos can be limited to chosen regions rather than applied globally.
Many tools also separate intent between capture sharpening and output sharpening so the same image can finish differently for screen versus print. Capture One builds that split directly into its workflow, which helps standardize results when deliverables require different sharpening behavior. Batch-focused options like VanceAI and Photo Ninja lean on repeatable sharpening presets for large sets, with halo suppression still depending on tuning and mask discipline.
Sharpening control mechanisms that determine edge results
Sharpening software changes perceived detail by controlling where contrast is raised, how edges are isolated, and how strong the effect becomes. The biggest differences show up in masking behavior, batch repeatability, and whether capture and output sharpening are split.
A tool that limits halo spread through layer-based masking will look cleaner than a tool that applies sharpening uniformly. Tools that offer capture sharpening plus output sharpening separate intent for screen versus print finishing and reduce inconsistent results across deliverables.
Mask-aware edge targeting with halo containment
Photopea uses layer-based masking around sharpening so edge halos can be limited to chosen regions, not applied globally. ON1 Photo RAW adds luminance masking and detail controls to target edges while reducing halo spread.
Interactive sharpening workflow built on masks
GIMP supports non-destructive sharpening through layer masks combined with adjustable unsharp mask and high-pass passes. PaintShop Pro also wraps sharpening inside a broader retouching workflow so masked detail edits can be combined with other corrections.
Batch preset sharpening for consistent folder output
VanceAI focuses on batch sharpening presets that keep enhancement consistent across large sets of mixed scenes. Photo Ninja provides batch preset sharpening that maintains a tuned sharpening look across folders for screen and print deliverables.
Capture sharpening and output sharpening split
Capture One includes dedicated capture sharpening plus output sharpening so the same image can finish differently for screen versus print. RawTherapee also separates capture and output sharpening stages with distinct intent to match the destination workflow.
Radius-and-threshold tuning for repeatable halo reduction
RawTherapee uses edge-aware masking with radius-based sharpening controls to target halos while keeping micro-contrast in luminance. Capture One’s luminance-centric sharpening tuning helps manage color smearing and halo behavior when radius and threshold are kept controlled.
Guided luminance masking for subject-first sharpening
Luminar Neo provides luminance-focused sharpening controls paired with masking to restrict sharpening to subject regions and reduce halo risk on background edges. PhotoDirector offers batch preset sharpening with local sharpening controls that make edge-specific tuning practical.
Choose by workflow shape: manual masked editing versus batch preset finishing
Start by matching the tool’s sharpening workflow to the team’s editing pattern. Manual masked editors treat sharpening as an interactive step, while batch preset tools treat sharpening as a repeatable output operation.
Then match intent separation to deliverables. Tools with capture and output sharpening splits reduce variance when screen exports and print output need different sharpening behavior.
Pick masked, interactive editing when halo control depends on manual region selection
Choose Photopea or GIMP when sharpening needs to be constrained to edges inside a layered, interactive editor. Photopea limits edge halos through layer-based masking, while GIMP supports non-destructive sharpening using layer masks with adjustable unsharp mask and high-pass passes.
Pick RAW-first, mask-aware sharpening when sharpening must stay tied to exposure edits
Choose ON1 Photo RAW or Luminar Neo when sharpening should follow RAW editing decisions and subject isolation. ON1 Photo RAW uses luminance masking with detail controls to target edges while limiting halo spread, and Luminar Neo restricts sharpening to subject regions using masking when artifacts appear on background boundaries.
Pick batch preset sharpening when consistency across folders matters more than per-image micro-tuning
Choose VanceAI or Photo Ninja when large sets need a repeatable sharpening look across mixed scenes. VanceAI keeps enhancement consistent with batch sharpening presets and strength control for oversharp halo management, while Photo Ninja uses batch preset sharpening paired with edge-aware sharpening to reduce ringing on high-contrast boundaries.
Pick capture plus output split when deliverables require different sharpening intent
Choose Capture One or RawTherapee when the same capture must finish differently for screen and print. Capture One provides a dedicated capture sharpening plus output sharpening workflow, and RawTherapee separates capture and output sharpening stages so tuning aligns with the destination workflow.
Pick general retouching integration when sharpening is one step inside a correction workflow
Choose PaintShop Pro when sharpening needs to sit beside broader retouching and correction tools in one editor. PaintShop Pro includes batch processing that repeats the same sharpening workflow across sets, but its edge-aware halo masking and fine-grain controls are limited compared with specialists.
Who benefits from specific sharpening control styles
Sharpening software fit depends on whether sharpening is driven by per-image mask work or by batch presets applied to whole folders. The right choice also depends on whether the workflow requires separate capture and output sharpening stages.
Teams that deliver both screen and print output often need a built-in capture versus output split. Teams that work in layered editors often prioritize mask precision to prevent halos on hair, text edges, and high-contrast boundaries.
Retouching teams doing manual edge refinement
GIMP and Photopea support layer-mask workflows where sharpening can be targeted to chosen regions. This structure helps reduce global contrast lift that causes visible halos.
Photographers finishing RAW edits into consistent deliverables
ON1 Photo RAW keeps sharpening tied to luminance masking and detail controls inside a RAW editing workflow. Luminar Neo also uses subject-region masking for guided sharpening that avoids background boundary artifacts.
Photo teams pushing consistent web or quick print previews across large sets
VanceAI and Photo Ninja emphasize batch preset sharpening so folder outputs match a tuned sharpening look. These tools reduce repeated manual edits when the goal is consistent results rather than per-image micro-tuning.
Studios needing different sharpening behavior for screen versus print
Capture One includes separate capture sharpening and output sharpening so screen and print can use different finishing intent. RawTherapee also splits stages so the sharpening workflow matches the destination.
Editors who want sharpening plus general retouching in one application
PaintShop Pro integrates sharpening into broader retouching and correction tools so sharpening becomes part of an end-to-end edit. Batch processing supports repeating the same sharpening workflow across sets even when edge-aware halo suppression is less granular.
Common sharpening mistakes that show up as halos, ringing, or inconsistent output
Sharpness problems usually come from tuning too aggressively, applying sharpening globally, or treating capture and output finishing as the same step. These failures show up as edge halos, oversharp textures, and inconsistent deliverables across screen and print.
The tools differ in how much help they provide against these problems. Some tools rely on masking discipline, while others provide explicit stage separation to keep intent aligned.
Applying sharpening uniformly when edges need localized control
Use layer-based masking in Photopea or GIMP to restrict sharpening to selected regions and reduce halo spread on high-contrast boundaries. High-pass sharpening without careful masking can introduce halos when edges are forced to sharpen globally.
Overdriving radius or threshold and creating visible halo rings
Capture One and RawTherapee both rely on radius and threshold behavior, so keep tuning conservative to avoid overcrisp edges. When halos appear, reduce aggressiveness and re-check halo visibility at the intended output size.
Expecting batch presets to match results that require per-image mask work
VanceAI and Photo Ninja provide repeatable batch preset sharpening, but fine control workflows still depend on tuning choices per scene type. When artifacts differ across images, switch to a mask-aware manual workflow or adjust the preset for the dominant scene set.
Treating screen and print finishing as the same sharpening pass
Capture One’s dedicated capture sharpening plus output sharpening split avoids one-size-fits-all finishing. RawTherapee also separates capture and output sharpening stages, so avoid reusing one sharpening setting across both deliverable types.
How We Selected and Ranked These Tools
We evaluated Photopea, GIMP, VanceAI, ON1 Photo RAW, Luminar Neo, Capture One, PaintShop Pro, RawTherapee, PhotoDirector, and Photo Ninja on sharpening features, workflow practicality, and repeatability for real deliverables. Features accounted for 40% of scoring, ease and usability accounted for 30%, and value accounted for 30% across the set.
Photopea ranked highest because layer-based masking lets sharpening target edges so edge halos can be limited to chosen regions, and it combines interactive masking with practical unsharp mask and high-pass options. We also weighted tool-specific workflow shape, since batch preset options like VanceAI and Photo Ninja improved folder consistency while capture versus output split workflows like Capture One reduced screen versus print variance.
Frequently Asked Questions About photo sharpening software
How does Photopea limit edge halos during sharpening compared with RawTherapee?
Which tool handles capture sharpening and output sharpening as separate steps inside one RAW workflow?
When is a browser editor like Photopea a better fit than a standalone editor such as GIMP?
What breaks if a team tries to replace VanceAI’s batch intent with manual masking workflows in Luminar Neo?
Which application offers batch preset sharpening while also providing plugin-based extension points in the same edit pipeline?
How do GIMP and PaintShop Pro differ in their sharpening workflow repeatability?
Which tool provides the most direct radius-based control for sharpening after RAW capture?
When does high-throughput batch sharpening matter more than fine manual edge handling?
How do ON1 Photo RAW and Capture One handle local edge targeting to keep halos localized?
What security and admin controls should teams expect when sharpening workflows touch managed projects and file formats?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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