PistonDevelopers/image
Image
This project is an image processing library designed for manipulating pixel data, applying visual filters, and adjusting image appearance. It functions as a low-level tool for processing raw pixel buffers and managing image data.
The library provides a toolkit for image geometry manipulation, including resizing, cropping, flipping, and rotating images. It also serves as an image format converter for encoding and decoding data between common binary file formats and as a metadata extractor for retrieving dimensions and color profiles from file headers.
The capabilities cover low-level image processing, such as modifying brightness, contrast, hue, and saturation. It also supports the application of visual filters like blur, sharpening, and grayscale transformations.
Features
- C-Based Image Engines - Implements a core processing engine in C for high-performance mathematical operations on pixel arrays.
- C Image Processing Libraries - Provides a high-performance C library for raw pixel buffer manipulation and image processing.
- Pixel-Level Image Manipulation - Performs direct modification of individual pixel colors and properties within image buffers.
- Low-Level Pixel Buffer Access - Provides direct access to contiguous memory buffers to ensure high-throughput pixel manipulation.
- Pixel-Based Manipulations - Provides capabilities to manipulate raw pixel data using memory-mapped buffers for coordinate-based transformations.
- Image File Loading - Reads image files from disk into memory and writes processed buffers back to storage.
- Image Format Encoding - Converts raw pixel buffers into standardized raster image file formats for storage or transmission.
- Image Format Conversion - Changes the file type of an image, such as from JPEG to PNG, during save operations.
- Image Geometry Toolkits - Offers a comprehensive toolkit for resizing, cropping, flipping, and rotating images.
- Image Processing and Manipulation - Provides a suite of tools for decoding, encoding, and modifying digital images across various formats.
- Image Visual Filters - Implements visual filters such as blur, sharpening, and grayscale transformations to modify image appearance.
- Image Format Decoders - Decodes common image file formats to prepare raw pixel data for processing and manipulation.
- Format Converters - Translates images between different binary file formats to ensure cross-platform compatibility.
- Multi-Format Codecs - Utilizes encoding and decoding components to translate between common binary image formats and internal memory.
- Geometry Coordinate Remapping - Transforms image dimensions and orientation by remapping pixel coordinates from source to destination buffers.
- Image Buffer Serializations - Implements logic to write processed in-memory image buffers back to permanent storage using format-specific encoding.
- Image Metadata Extraction - Retrieves dimensions and color profile specifications from image files without decoding all pixels.
- Image Metadata Retrieval - Retrieves image dimensions and color profile information by parsing file headers without decoding all pixels.
- Media Header Parsing - Extracts technical metadata and dimensions from image headers without loading the full pixel set.
- Static Image Filters - Processes images with blur, sharpen, and grayscale effects to modify visual clarity and tone.
- Image Property Adjusters - Allows fine-tuning of brightness, contrast, hue, and saturation to change the overall visual look.
- Color Adjustments - Provides functions to modify brightness, contrast, and saturation across the image pixel grid.
- Spatial Geometry Manipulators - Resizes, crops, flips, and rotates images to change their physical dimensions or visual orientation.
- Image Processing - Library for image encoding and decoding.
Star history
How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
