Colorize and Breathe Life into Old Black-and-White Photos (Get started for free)
How can I restore a damaged or old photo of my grandfather from around the 1940s or 1950s?
The human brain can recognize faces even when they're heavily degraded, thanks to the fusiform gyrus, a region in the brain dedicated to facial recognition, which helps photo restoration algorithms work more effectively.
Scanning a photo at 300 dpi (dots per inch) is recommended for better restoration results, as it captures more detail and allows for easier editing.
The principles of signal processing, specifically deconvolution, are used in photo restoration to remove blurs and noise from damaged images.
Artificial intelligence-powered photo restoration tools use generative adversarial networks (GANs) to learn patterns and features from training data, enabling them to repair and enhance old photos.
The order of operations in photo editing, such as noise reduction, contrast adjustment, and color correction, can significantly impact the final restoration result.
When scanning old photos, it's essential to use a flatbed scanner with a high-quality scanner bed and a dust-free environment to minimize scratches and damage.
Digital ICE (Image Correction and Enhancement) technology, used in some scanners, can automatically remove dust and scratches from scanned images.
The concept of histogram equalization, which adjusts the brightness and contrast of an image, is crucial in photo restoration to balance the tone and distribution of pixel values.
The Fourier transform, a mathematical tool, is used in image processing to decompose images into their constituent frequencies, allowing for noise reduction and sharpening.
In photo restoration, the "Frequency-Separation" technique separates the image into low-frequency (base) and high-frequency (detail) components, enabling more precise editing.
Destructive editing, where edits are permanently applied to the original image, is discouraged in photo restoration; instead, non-destructive editing using layers and masks is recommended.
In Adobe Photoshop, the "Content-Aware Fill" feature uses machine learning algorithms to remove unwanted objects or fill gaps in an image.
The " LAB color space," which separates luminance (lightness) from chrominance (color), is used in photo editing to independently adjust these aspects of an image.
Digital "dust and scratch removal" algorithms employ a technique called "anisotropic diffusion," which adaptively adjusts the strength of smoothing based on image features.
The "Orton effect," a photographic technique that combines a sharp image with a blurry version, can be used to create a dreamy, nostalgic atmosphere in restored photos.
Colorize and Breathe Life into Old Black-and-White Photos (Get started for free)