zignal 0.2.0

Highlights

• 2-5x faster image operations with SIMD-optimized RGBA kernels
• High-quality image interpolation - 6 algorithms including Lanczos and Mitchell
• Terminal graphics - Display images with Sixel, Kitty, Braille, and ANSI
• Python bindings - Zero-copy NumPy integration and rich display support

Core Library

New Features

• Image interpolation methods: nearest, bilinear, bicubic, Catmull-Rom, Lanczos, Mitchell
• Terminal display formats: Sixel, Kitty graphics protocol, Braille, ANSI blocks
• PNG color management and optimized filter selection
• Refactored image module into organized sub-modules

Performance

• SIMD kernels for RGBA operations (2-5x speedup)
• Optimized PNG encoding with adaptive filtering
• Memory-efficient implementations

Python Bindings

Breaking Change: Image class now uses RGBA storage internally (33% more memory, much faster)

New Features

• Feature Distribution Matching (FDM) for color transfer
• Zero-copy NumPy conversion with to_numpy()
• Jupyter notebook support with format
• Type stubs for better IDE support
• Pre-built wheels for Python 3.8-3.13

PRs

• feat(image): enable zero-copy numpy conversion by @arrufat in #43
• feat(python): add feature distribution matching bindings by @arrufat in #44
• perf(fdm): speedup operations and reduce allocations by @arrufat in #45
• refactor(python): move scripts and sources to subdirs by @arrufat in #46
• feat(sixel): add sixel support for images by @arrufat in #47
• feat(python): add __format__ method for display by @arrufat in #48
• feat(kitty): add kitty graphics protocol support by @arrufat in #49
• refactor(image): split monolithic module into sub-modules by @arrufat in #50
• feat(image): add image interpolation methods by @arrufat in #51
• perf(interpolation): add SIMD kernels for 4xu8 structs (Rgba) by @arrufat in #52
• feat(python)!: migrate to Image(Rgba) for SIMD performance by @arrufat in #53

Full Changelog: 0.1.0...0.2.0