학술논문

Sparse optimization with directional DCT bases for image compression
Document Type
Conference
Source
2010 IEEE International Conference on Acoustics, Speech and Signal Processing Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on. :1290-1293 Mar, 2010
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
Signal Processing and Analysis
Discrete cosine transforms
Image coding
Rate-distortion
Image segmentation
Transform coding
Anisotropic magnetoresistance
Libraries
Bit rate
Compression algorithms
Dynamic programming
Sparsity
Optimization
Anisotropic Directional DCT basis
Language
ISSN
1520-6149
2379-190X
Abstract
This paper proposes a new compression algorithm based on the directional DCT (DDCT) bases introduced in [1]. We first explain how to extend the DDCT concept to rectangular bases and exploit them to build a set of bases using a bintree segmentation. We then use dynamic programming to select a basis from this set according to a rate-distortion criterion. Comparisons in terms of rate-distortion performance are finally made with the current compression standards JPEG and JPEG2000.