dither_it 0.0.4

A comprehensive Dart library for image dithering with Floyd-Steinberg, Ordered (Bayer), and Riemersma algorithms. Transform images with professional-grade dithering techniques.

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[Unreleased]

Planned

• ❌ Jarvis-Judice-Ninke error diffusion algorithm
• ❌ Stucki dithering algorithm
• ❌ Burkes dithering algorithm
• ❌ Sierra family algorithms (Sierra, Two-Row Sierra, Sierra Lite)
• ❌ Atkinson dithering algorithm
• ❌ Blue noise dithering using void-and-cluster method
• ❌ Custom color palette support
• ❌ Performance optimizations with isolates
• ❌ CLI tool for batch processing
• ❌ Web demo application

0.0.3 Feb, 3, 2025

Added

• Riemersma dithering algorithm implementation
• Hilbert curve-based error diffusion for natural-looking results
• Configurable history size for Riemersma algorithm
• Comprehensive documentation and examples
• Performance optimizations for all algorithms

Changed

• Improved API documentation with better examples
• Enhanced test coverage for all algorithms
• Updated README with detailed usage instructions

Fixed

• Edge case handling in Floyd-Steinberg algorithm
• Memory optimization in error diffusion calculations

0.0.2 Aug, 15, 2024

Added

• Ordered dithering (Bayer matrix) implementation
• Support for 2x2, 4x4, and 8x8 Bayer matrices
• Configurable matrix sizes for different quality levels
• Comprehensive test suite for ordered dithering

Changed

• Improved error handling for invalid matrix sizes
• Performance optimizations for matrix-based algorithms

Fixed

• Boundary checking in ordered dithering algorithm

0.0.1 Aug, 6, 2024

Added

• Initial release of DitherIt library
• Floyd-Steinberg dithering algorithm implementation
• Basic error diffusion functionality
• Support for RGB image processing
• Comprehensive documentation
• Unit tests for core functionality
• MIT License
• Basic example usage

Features

• Pure Dart implementation with no native dependencies
• Compatible with the image package
• Optimized algorithms for performance
• Well-documented API with DartDoc comments