anthonynsimon/bild

Features

• Go Image Processing Libraries - Provides a comprehensive collection of image manipulation algorithms implemented entirely in Go.
• Procedural Noise Textures - Generates synthetic textures and organic patterns using Perlin, Gaussian, binary, and uniform noise algorithms.
• CLI Image Processing Tools - Includes a command-line interface for applying visual effects, color adjustments, and geometric transformations.
• Command-Line Image Manipulation - Allows executing image crops, rotations, and filters through a terminal interface without writing custom code.
• Image Geometric Transformations - Provides matrix-based geometric transformations for rotating, shearing, and translating image coordinates.
• Procedural Texture Generators - Implements Perlin, Gaussian, binary, and uniform noise algorithms to generate synthetic textures and organic patterns.
• Convolutional Filtering - Implements a convolution kernel engine to perform blurring, sharpening, and edge detection.
• Image Blending - Implements algorithms for combining multiple image layers using mathematical blending modes like Multiply, Screen, and Overlay.
• Multi-Format I/O - Supports reading and writing image data across standard formats including PNG, JPEG, BMP, and WebP.
• Computer Vision Preprocessing - Prepares images for analysis using thresholding, edge detection, and morphological filters.
• Image Dimension Transformations - Ships resampling algorithms to change image dimensions while maintaining visual quality during resizing and zooming.
• Flood Fill Algorithms - Ships a tolerance-based flood fill algorithm to paint contiguous regions of similar pixels.
• Image Flipping - Provides capabilities to mirror images both horizontally and vertically.
• Image Rotation - Provides tools to rotate images around a pivot point with bounding box management.
• Rotation and Shear transforms - Implements shearing transformations to distort images by shifting pixels along the axes.
• Image Blur Filters - Implements Box and Gaussian blur algorithms to soften image details and reduce noise.
• Image Composition - Supports combining multiple images using mathematical blending modes and layering to create composites.
• Threshold-Based Segmentation - Converts multi-tone images into binary black-and-white maps using intensity-based thresholding.
• Image Cropping Tools - Includes tools to extract specific rectangular regions from existing images through cropping.
• Dimension Resizing - Implements resampling filters to change image dimensions while maintaining visual quality.
• Morphological Operations - Provides morphological filtering operations, including dilation and erosion, to modify image structures.
• Image Zooming - Implements a zooming tool to scale image content from a pivot point with optional canvas expansion.
• Image Translation - Provides the ability to shift image content along the X and Y axes using translation.
• Image Visual Effects - Provides a suite of visual effects including edge detection, embossing, grayscaling, inverting, and sharpening.
• PorterDuff Blending Modes - Implements mathematical blending modes like Multiply and Screen to combine multiple image layers.
• Color Adjustments - Provides functions for modifying gamma, contrast, brightness, and saturation to adjust the visual tone of images.
• Image Processing - Collection of image processing algorithms in pure Go.

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