2 个仓库
Analysis of data streams to count value occurrences for use in lossless compression.
Distinct from Data Compression Algorithms: Focuses on the specific counting phase required for Huffman coding, distinct from the overall compression algorithm.
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This project is a comprehensive collection of common computer science algorithms and data structures implemented in Swift. It serves as an educational reference and library for studying computational complexity, algorithmic logic, and data structure engineering through practical code examples. The repository provides a wide suite of data structure implementations, including various types of linked lists, heaps, hash tables, and an extensive range of hierarchical trees such as Red-Black, B-Tree, and Splay trees. It also covers diverse sorting and searching techniques, from basic bubble sort to
Provides byte stream analysis to generate frequency tables for compression algorithms.
Mozjpeg 是一个高性能 C 库,用于编码、解码和转码 JPEG 图像。它作为标准 JPEG 库的二进制兼容、直接替换方案,保持现有的函数签名,从而在无需更改应用逻辑的情况下提高压缩效率。 该库作为一个图像优化器,通过无损渐进式编码和系数优化来减小文件大小。它利用基于网格的量化和 SIMD 加速处理来优化视觉质量与文件大小之间的权衡。 其更广泛的功能包括全面的图像编码与解码、色彩空间转换和分量下采样。该架构设计为可重入且线程安全,允许并发处理多个图像。它还具有专门的元数据管理功能,用于通过标记拆分处理大型 ICC 颜色配置文件。
Generates optimized encoding tables based on symbol frequency to maximize compression efficiency and minimize data stream size.