Name the problem before choosing the tool
A flat photograph, a grainy photograph and a small photograph can look equally disappointing, but they need different operations. Enhancement adjusts tone and colour. Denoising reduces grain while balancing texture. Upscaling adds output pixels with a detail-recovery treatment. None of those operations proves that missing original detail has been recovered.
Inspect the picture at a useful size and keep the original. If it is dark but otherwise sharp, begin with enhancement. If fine grain is the main distraction, try denoising. If it simply has too few pixels for the layout, consider enlargement while accepting its limits.
Review automatic enhancement before touching sliders
Enhance Image creates an automatic first draft after you select and process the photograph. The assessment and correction controls appear with that result. Compare it before changing brightness, contrast, colour, tone or clarity.
Change one control at a time. More contrast can make the picture feel stronger while clipping bright areas, and extra colour can make skin unnatural. A small correction to an automatic draft can be more useful than raising every setting.
Denoise without erasing texture
Noise reduction and detail preservation work against competing goals. Strong smoothing can remove grain but also flatten skin, hair or fabric. Process a moderate version first and compare a detailed area at full size.
Do not judge solely from a tiny preview, where both noise and lost texture are hard to see. If the output looks waxy, lower reduction or adjust preservation. Motion blur and severe compression artifacts are different problems and may not respond well to denoising.
Enlarge with realistic expectations
Upscale Image offers 2×, 3× and 4× enlargement with staged scaling and detail recovery. This browser implementation interpolates and sharpens; it is not a generative model that establishes new true detail. Start at the smallest factor that meets the layout requirement.
A 2× change in both width and height creates four times as many output pixels. Larger output can require substantially more memory, especially when several copies or previews are open. On a modest computer, test a smaller input before choosing the largest factor.
Compare each stage against a useful reference
If you combine operations, save intermediate copies and avoid unnecessary lossy re-encoding. After denoising, inspect whether enhancement exaggerates leftover artifacts. After enlargement, inspect whether sharpening adds halos around lettering or facial outlines.
Choose the final file around its destination. An enlarged PNG may be much larger than a suitable JPG for an ordinary photograph. A result that looks cleaner in one area can still be worse in another, so review both the subject and background before sharing.
Choose the weakest treatment that solves the visible issue
Use enhancement for tone and clarity, denoising for grain, and enlargement when more output pixels are required. Stronger settings are not automatically better: sharpening can outline edges and smoothing can erase real texture.
The implemented enhancement, denoising and upscaling operations use browser image algorithms. Colourization and optional neural repair use models for their specific tasks. Do not assume that every item in a photo-improvement collection is generative AI.
