Title :
A bracket classified coding scheme for image compression
Author :
Lin, Chihfeng C. ; Pease, Daniel J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Syracuse Univ., NY, USA
Abstract :
This paper presents a new image compression scheme, called bracket classified coding (BCC), to be used during image transform coding. This scheme divides non-overlapping pixel groups called brackets into classes on the basis of spatial features. Each class is identified by a label. Only a subset of selected pixel values are sent for DPCM/DCT hybrid encoding. In addition, this scheme exploits cross correlation among class labels when encoding the class information. A scanning method is developed to generate drives. A drive represents a run of labels with the same class. It is the drives, rather than individual labels, that are coded with the Huffman algorithm. Simulation results show that the excellence of the visual quality, bit rate, and processing speed, with 2×2 bracket segments
Keywords :
Huffman codes; correlation methods; data compression; differential pulse code modulation; discrete cosine transforms; image classification; image coding; image segmentation; modulation coding; transform coding; DPCM/DCT hybrid encoding; Huffman algorithm; bit rate; bracket classified coding; bracket segments; bracket subsampling; class information encoding; class labels; cross correlation; image compression; image reconstruction; image transform coding; nonoverlapping pixel groups; processing speed; scanning method; simulation results; spatial features; visual quality; Bit rate; Discrete cosine transforms; Encoding; Image analysis; Image classification; Image coding; Image segmentation; Performance analysis; Pulse modulation; Transform coding;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.559470
