Colorize and Breathe Life into Old Black-and-White Photos (Get started for free)
How can I digitally restore a faded old photo like this one to bring back its original colors and clarity?
Lossy compression: When taking a photo, data is compressed to reduce file size.
Over time, this compression can become lossy, causing image degradation.
Restoration algorithms compensate for this loss by reconstructing the original data.
Color spaces: Old cameras used different color spaces, like RGB or CMYK, which are no longer widely used today.
Restoration algorithms need to convert these colors to modern color spaces, like sRGB, to enhance image quality.
Image noise: Old cameras and scanners produce noise due to thermal fluctuations and mechanical defects.
Restoration algorithms need to remove this noise to bring out hidden details.
Aliasing: Old cameras and scanners can capture aliased images, causing jagged edges and loss of detail.
Restoration algorithms can reduce aliasing by interpolating missing pixel data.
Image sharpening: Restoration algorithms can sharpen images by amplifying subtle differences between pixels, revealing previously hidden details.
Inpainting: Restoration algorithms can fill gaps, remove scratches, and repair damaged areas using techniques like inpainting.
Inpainting algorithms create realistic filler pixels based on surrounding image data.
Denoising: Restoration algorithms can denoise images by identifying and removing noise while preserving edges and details.
Image denoising using wavelets: Wavelet-based denoising methods can effectively remove noise while preserving edges and details.
Image compression and restoration: The same algorithms used for image compression, like JPEG, can also be used to compress and restore images.
High-frequency details: Restoration algorithms can focus on high-frequency details, like texture and patterns, to enhance image quality.
Learning-based restoration: Deep learning-based restoration methods can learn patterns and relationships between pixels to create more accurate and high-quality restorations.
Domain adaptation: Restoration algorithms can adapt to different domains (e.g., old vs.
modern cameras) and learn to transfer knowledge between them.
Colorize and Breathe Life into Old Black-and-White Photos (Get started for free)