论文信息 - Image compression

Image compression

Digital image compression methods reduce the space necessary to encode, store or transmit digital images by changing the way those images are represented. To see why image compression is desirable, consider an 8 × 10 inch color picture, digitized using a resolution of 600 pixels per inch and a byte for each of three color planes. Then the number of bytes required to represent each image is:

Giovanni Motta | Francesco Rizzo | James A. Storer

[1] David Salomon,et al. Data Compression: The Complete Reference , 2006 .

[2] John W. Woods,et al. Subband Image Coding , 1990 .

[3] T. K. Truong,et al. Comparison of international standards for lossless still image compression , 1994, Proc. IEEE.

[4] Khalid Sayood,et al. Introduction to Data Compression , 1996 .

[5] Ian H. Witten,et al. Managing gigabytes (2nd ed.): compressing and indexing documents and images , 1999 .

[6] Allen Gersho,et al. Vector quantization and signal compression , 1991, The Kluwer international series in engineering and computer science.

[7] Guillermo Sapiro,et al. LOCO-I: a low complexity, context-based, lossless image compression algorithm , 1996, Proceedings of Data Compression Conference - DCC '96.

[8] Konstantinos Konstantinides,et al. Image and Video Compression Standards: Algorithms and Architectures , 1997 .

[9] Y. Fisher. Fractal image compression: theory and application , 1995 .

[10] P. Yip,et al. Discrete Cosine Transform: Algorithms, Advantages, Applications , 1990 .

[11] Lyman P. Hurd,et al. Fractal image compression , 1993 .

[12] Arun N. Netravali,et al. Digital Video: An introduction to MPEG-2 , 1996 .