论文标题
利率 - 统计准确性权衡：JPEG案例研究
The Rate-Distortion-Accuracy Tradeoff: JPEG Case Study
论文作者
论文摘要
处理数字图像几乎总是伴随着有损的压缩，以促进有效的传输和存储。这引入了分配的位预算（速率）和所得图像的忠诚之间的不可避免的张力，以实现原始图像（失真）。另一个复杂的考虑是通过给定分类器（准确性）压缩对识别性能的影响。这项工作旨在探索这一速率 - 准确性的权衡。作为案例研究，我们专注于JPEG压缩标准中的量化表的设计。我们通过连续优化为这些表提供了新颖的最佳调整，利用了JPEG编码器编码器和熵估计器的差异实现。这使我们能够提供一个统一的框架，以考虑速率，失真和分类精度之间的相互作用。在所有这些方面，我们通过对这些表的简单且易于实现的修改报告了性能的大幅提升。
Handling digital images is almost always accompanied by a lossy compression in order to facilitate efficient transmission and storage. This introduces an unavoidable tension between the allocated bit-budget (rate) and the faithfulness of the resulting image to the original one (distortion). An additional complicating consideration is the effect of the compression on recognition performance by given classifiers (accuracy). This work aims to explore this rate-distortion-accuracy tradeoff. As a case study, we focus on the design of the quantization tables in the JPEG compression standard. We offer a novel optimal tuning of these tables via continuous optimization, leveraging a differential implementation of both the JPEG encoder-decoder and an entropy estimator. This enables us to offer a unified framework that considers the interplay between rate, distortion and classification accuracy. In all these fronts, we report a substantial boost in performance by a simple and easily implemented modification of these tables.
