Colorize and Breathe Life into Old Black-and-White Photos (Get started for free)

"How can I get help restoring an old picture of my great-grandparent?"

**Digital image processing**: Most photo restoration services use digital image processing techniques, which involve applying algorithms to enhance and restore damaged images.

**Frequency domain processing**: Some photo restoration services use frequency domain processing, which involves analyzing the image in the frequency domain to separate the image into its component frequencies.

**Convolutional Neural Networks (CNNs)**: Many AI-powered photo restoration tools use CNNs, a type of deep learning algorithm, to learn patterns in images and restore damaged areas.

**Generative Adversarial Networks (GANs)**: Some AI-powered photo restoration tools use GANs, which consist of two neural networks that work together to generate new images or restore damaged ones.

**Image noise reduction**: Many photo restoration services use algorithms to reduce image noise, which is the random variation in pixel values that can degrade image quality.

**Chroma subsampling**: When restoring old color photos, chroma subsampling is used to reduce the amount of chroma (color) data, which can help to reduce the file size of the image.

**Histogram equalization**: Some photo restoration services use histogram equalization to adjust the brightness and contrast of an image, which can help to restore faded or overexposed areas.

**Image interpolation**: When restoring damaged images, image interpolation is used to estimate missing pixel values by analyzing neighboring pixels.

**U-Net architecture**: Some AI-powered photo restoration tools use the U-Net architecture, a type of neural network that is particularly well-suited for image segmentation and restoration tasks.

**Depth maps**: Some photo restoration services use depth maps, which are 2D representations of the 3D structure of an image, to help restore damaged areas.

**Optical character recognition (OCR)**: Some photo restoration services use OCR to recognize and restore text in damaged images.

**Image registration**: When restoring multiple images of the same scene, image registration is used to align the images and remove distortions.

**Non-local means denoising**: Some photo restoration services use non-local means denoising, a filter that removes noise from an image by analyzing similar patches of pixels.

** Wavelet denoising**: Some photo restoration services use wavelet denoising, a filter that removes noise from an image by representing it in the wavelet domain.

**Quality metrics**: Many photo restoration services use quality metrics, such as Peak Signal-to-Noise Ratio (PSNR) or Structural Similarity Index (SSIM), to evaluate the quality of the restored image.

Colorize and Breathe Life into Old Black-and-White Photos (Get started for free)