Image Quality Comparison
Before: Technical Flaws
- Resolution limited to original capture dimensions
- Sharpness reduced due to lens softness and focus issues
- Lighting uneven with overexposed highlights and underexposed shadows
- Artifacts present from compression and sensor noise
- Color accuracy affected by white balance inconsistencies
- Detail loss in high-frequency areas
After: Technical Corrections
- Resolution increased through upscaling algorithms
- Sharpness enhanced with edge-preserving filters
- Lighting balanced through tone mapping and exposure correction
- Artifacts reduced via noise reduction and compression artifact removal
- Color accuracy improved with white balance adjustment
- Detail preservation maintained in texture-rich regions
Resolution Improvements
Original images often suffer from limited pixel density. Enhancement increases resolution while maintaining visual quality. The process uses interpolation methods that preserve edge definition and prevent blurring.
Sharpness Enhancement
Sharpness correction addresses both global and local blur. Unsharp masking and frequency domain processing restore edge definition. The enhancement distinguishes between intentional softness and unwanted blur.
Lighting Correction
Lighting issues are addressed through dynamic range optimization. Highlights are recovered without clipping, and shadows are brightened to reveal detail. The process maintains natural appearance while improving visibility.
Artifact Reduction
Compression artifacts, sensor noise, and processing artifacts are identified and reduced. The enhancement uses pattern recognition to distinguish artifacts from actual image content, ensuring important details remain intact.
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