自动化学报2011，Vol.37Issue(6)：674-681,8.DOI:10.3724/SP.J.1004.2011.00674
基于局部DCT系数的图像压缩感知编码与重构
Image Coding and Reconstruction via Compressed Sensing Based on Partial DCT Coefficients
摘要
Abstract
This paper introduced the CS (compressed sensing) theory and proposed a new method to encode and reconstruct images after acquiring the partial two-dimensional DCT (discrete cosine transform) coefficients.The CS total variation reconstruction algorithms based on partial DCT coefficients with or without quantization were studied in this paper.In the quantization step, partial noisy DCT coefficients were obtained, based on which the general image coding/decoding process able to realize the CS reconstruction was designed, and a practical application system was made up.The experimental results showed that for images with strong sparsity, the image coding/decoding system integrated with CS theory and its methods can be used to obtain reconstructed images with high quality, and that compared with traditional direct inverse DCT (IDCT) method, the improved peak signal to noise ratio (PSNR) can be up to 5dB, and it also has some improvement in the term of PSNR for general images.关键词
图像编码/图像重构/离散余弦变换/压缩感知/最小全变差Key words
Image coding/ image reconstruction/ discrete cosine transform (DCT)/ compressed sensing (CS)/ minimum total variation (TV)引用本文复制引用
潘榕,刘昱,侯正信,汪少初..基于局部DCT系数的图像压缩感知编码与重构[J].自动化学报,2011,37(6):674-681,8.基金项目
国家自然科学基金(60872161)资助 （60872161）
