Image Enhancement Examples

Realistic before-and-after examples of image enhancement

Original Image Problems

The original image displayed several technical issues that affected its quality:

  • Motion blur from camera shake during capture
  • Low light conditions resulting in underexposed areas
  • Digital noise visible in shadow regions
  • Compression artifacts from JPEG encoding
  • Reduced sharpness in fine details

Improvements After Enhancement

After processing with AI enhancement, the following corrections were applied:

  • Motion blur reduced through deconvolution algorithms
  • Exposure adjusted to reveal detail in dark areas
  • Noise reduction applied while preserving texture
  • Compression artifacts smoothed without losing edge definition
  • Sharpness increased in subject areas
  • Overall contrast improved for better visual clarity

Technical Details

The enhancement process analyzed the image at the pixel level, identifying areas requiring correction. Blur was addressed through frequency domain processing. Noise reduction used adaptive filtering to distinguish between noise and actual image content. Compression artifacts were minimized through edge-aware smoothing techniques.

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