Post-Processing

What is Post-Processing?

Post-Processing is everything done to an image or video after it has been captured or generated ( colour grading, retouching, upscaling, compositing ) the work that transforms a raw output into a finished, polished deliverable.

At a glance

Also known as
PostPost-production (for video)EditingFinishing
Used for
Colour correction and grading for stylistic consistency and qualityRetouching and artefact removal in imagesUpscaling and resolution enhancementCompositing generated elements into larger visual contextsAdding cinematic treatments (grain, LUTs, motion blur) to generated content
Common tools
Adobe lightroom (photo post-processing)Adobe photoshop (retouching and compositing)DaVinci resolve (video colour grading)Topaz labs (AI upscaling)Stable diffusion / inpainting tools (AI-specific post-processing)
Related terms
Color gradingLUTCompositingInpaintingUpscalingMasking / mask

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How it compares

How it compares

Compared with related concepts

Post-processing is often contrasted with 'getting it right in camera' or 'getting it right in the prompt' — the principle that ideal output requires minimal correction because the source was captured or generated with sufficient quality and intention. In practice, professional workflows almost always involve substantial post-processing regardless of source quality, because post-processing provides creative control that cannot always be achieved at the point of capture or generation. The question is not whether to post-process, but how much, and for what purpose: correction, creative enhancement, or both.

Think of it like…

Post-processing is like the darkroom to a photographer's shoot: the capture is where the raw material is gathered, but the darkroom (or its digital equivalent) is where the image is fully realised, where tonal balance is achieved, where the specific print quality and visual character are established, and where the photograph as a creative work is actually completed.

Pro tip

Establish a post-processing workflow before beginning AI generation production, not after. Decide in advance what colour grade, tone, and aesthetic treatment your final output requires, and test your post-processing pipeline on early generation outputs to verify it achieves the intended result. Working backward from a known post-processing treatment allows you to adjust generation prompts and settings to produce raw outputs that respond well to your intended post-processing: some grades and treatments require specific tonal characteristics in the source material to work effectively.

Types and variations

  • Colour correction is the technical post-processing phase that adjusts an image to a neutral, balanced baseline: correcting for white balance, exposure, and colour casts.
  • Colour grading is the creative phase that applies a specific aesthetic look on top of the corrected baseline.
  • Retouching removes or modifies specific elements of an image: blemishes, distracting objects, AI generation artefacts.
  • Compositing combines multiple image or video elements into a unified scene.
  • Upscaling uses AI or interpolation algorithms to increase image resolution.
  • Visual effects (VFX) post-processing adds computer-generated elements ( explosions, creatures, environments ) to filmed footage.
  • AI generation-specific post-processing includes inpainting to repair artefacts, outpainting to extend frames, and ControlNet-guided re-generation to improve specific regions.

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Common use cases

Post-processing is applied in photography to develop RAW files into polished final images with the intended colour, tone, and aesthetic; in film and television for colour grading that establishes the visual identity of a production; in commercial imaging for retouching that meets brand and quality standards; in AI generation workflows for upscaling, artefact correction, and stylistic colour grading that unifies generated content into a cohesive visual language; and in any visual production context where the raw capture or generation output requires refinement to reach professional deliverable standards.

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FAQs

What is post-processing?
Post-processing is all the editing, correction, and refinement work applied to images or video after the initial capture or generation. It includes colour correction and grading, retouching, compositing, upscaling, noise reduction, and the application of any creative visual treatments. In AI generation workflows, it also includes inpainting to correct artefacts, outpainting to extend frames, and stylistic grading to unify generated content.
Is post-processing the same as post-production?
Post-production is the broader term covering all work on a project that occurs after principal photography or generation is complete: editing, colour grading, sound design, VFX, music, and delivery. Post-processing most commonly refers specifically to the image or video manipulation phase ( colour, retouching, compositing ) within the broader post-production workflow. In photography, 'post-processing' refers to developing and editing individual images.
What is the difference between colour correction and colour grading?
Colour correction is the technical phase that adjusts footage or images to a neutral, balanced baseline: correcting for white balance errors, exposure inconsistencies, and colour casts to produce a standard, accurate starting point. Colour grading is the creative phase that applies a specific aesthetic look: a cool, desaturated thriller grade, a warm golden-hour glow, a high-contrast stylised look: on top of the corrected baseline. Correction precedes grading in professional workflows.
Why is post-processing important for AI generation outputs?
AI generation outputs are starting points, not finished deliverables. Raw outputs frequently contain artefacts, inconsistencies, suboptimal resolution, or stylistic variation across a body of work. Post-processing addresses all of these: inpainting corrects artefacts; upscaling improves resolution; colour grading unifies visual style across multiple generations; compositing integrates generated elements into production contexts. Professional AI-generated content is almost always post-processed.
What tools are most commonly used for AI generation post-processing?
Adobe Photoshop is the primary tool for retouching, compositing, and targeted artefact correction. Adobe Lightroom or Capture One for batch colour correction and grading of still image outputs. DaVinci Resolve for video colour grading. Topaz Photo AI, Gigapixel, or similar AI upscaling tools for resolution enhancement. Stable Diffusion's inpainting mode for AI-native artefact repair. These tools are often used in combination across a complete post-processing pipeline.
What is a LUT and how is it used in post-processing?
A LUT (Look-Up Table) is a file that maps input colour values to specific output colour values, effectively applying a pre-defined colour transformation to an image or video. LUTs are used in post-processing to apply consistent colour grades across multiple images or clips, to emulate specific film stocks or camera profiles, or to apply a creative look established for a production. They are widely used in both photography and video post-processing for efficient, consistent colour treatment.
How does post-processing differ between photography and video?
Photography post-processing typically focuses on developing individual RAW files, adjusting exposure and colour, retouching specific elements, and exporting to final format. Video post-processing involves the additional complexity of temporal consistency: colour grades must look correct across the duration of clips, not just in individual frames: and typically includes additional phases like noise reduction, sharpening for delivery formats, and managing the more complex colour science of video workflows including gamma curves and colour spaces.
Can I automate post-processing for AI generation workflows?
Partially. Batch processing in Lightroom, Photoshop Actions, and DaVinci Resolve Galleries allow consistent grades and adjustments to be applied across many images or clips efficiently. AI-powered post-processing tools can automate noise reduction, upscaling, and some retouching tasks. However, artefact identification and targeted inpainting, compositional adjustments, and high-quality colour grading decisions still benefit from manual review and control. Automation handles repetitive technical steps; human judgement remains valuable for the creative and corrective elements.
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