Go Image Processing Libraries

Caire is a command-line image processing engine designed for content-aware resizing and batch manipulation. It utilizes seam carving algorithms to adjust image dimensions by identifying and removing low-energy pixels, allowing for the rescaling of images while preserving primary visual subjects and maintaining aspect ratios. The tool distinguishes itself through its ability to protect specific visual elements, such as human faces, from distortion during the resizing process. Users can apply custom binary masks to define regions for protection or forced removal, and the engine provides real-ti

Imaging is a Go library for image processing that provides a set of functions for common image manipulation tasks. It offers capabilities for adjusting image colors, applying convolution filters, blurring, cropping, resizing, sharpening, and correcting orientation based on EXIF data. The library supports resizing images to exact dimensions or bounding boxes with aspect ratio preservation and configurable resampling filters. Color adjustments include gamma, contrast, brightness, and saturation controls, while blurring and sharpening use Gaussian-based algorithms with configurable sigma paramet

gg is a Go 2D graphics library and vector graphics engine designed for programmatic image generation. It provides a canvas rendering API to create custom 2D shapes, paths, and visual assets, which can be exported as PNG and JPG files. The toolkit enables the construction of complex geometry using Bezier curves and custom paths. It supports a variety of rendering operations, including filling and stroking paths, applying linear and radial gradients, and utilizing surface patterns. The library covers a broad range of capabilities, including text rendering with word wrapping and dimension measu

Bild is an image processing library implemented in the Go programming language. It provides a collection of algorithmic engines for image manipulation, including a convolution kernel engine for filtering, an image blending tool for layer composition, and a procedural noise generator for creating synthetic textures. The project is distinguished by its procedural generation capabilities, implementing Perlin, Gaussian, binary, and uniform noise algorithms to produce random pixel distributions and organic patterns. It also features a command-line interface that allows users to apply visual effect

Pure golang image resizing

2D rendering for different output (raster, pdf, svg)