TY - GEN
T1 - A novel low-bit-rate image compression algorithm
AU - Xia, Qing
AU - Li, Xiaoguang
AU - Zhuo, Li
AU - Lam, Kin Man
PY - 2010/11/9
Y1 - 2010/11/9
N2 - In this paper, a novel image compression approach for low-bit-rate applications is proposed. Our algorithm combines both super-resolution techniques and compression techniques so that a higher compression rate, with satisfactory visual quality, can be achieved. In the coding process, the down-scaled version of the input image is divided into blocks, and each block is classified as either a textural block or a flat block. For the flat blocks, a skipping scheme is employed in the compression process so as to save the bits. The coding of the skip blocks, identified by the skipping scheme, will make reference to the reconstructed regions of the image in the encoding process. For the textural blocks, the standard JPEG coding method is employed. In the decoding process, the decompressed image is up-scaled using a super-resolution algorithm. Experimental results show the superior performance of our method in terms of both compression efficiency and visual quality.
AB - In this paper, a novel image compression approach for low-bit-rate applications is proposed. Our algorithm combines both super-resolution techniques and compression techniques so that a higher compression rate, with satisfactory visual quality, can be achieved. In the coding process, the down-scaled version of the input image is divided into blocks, and each block is classified as either a textural block or a flat block. For the flat blocks, a skipping scheme is employed in the compression process so as to save the bits. The coding of the skip blocks, identified by the skipping scheme, will make reference to the reconstructed regions of the image in the encoding process. For the textural blocks, the standard JPEG coding method is employed. In the decoding process, the decompressed image is up-scaled using a super-resolution algorithm. Experimental results show the superior performance of our method in terms of both compression efficiency and visual quality.
KW - Image compression
KW - Low bit-rate coding
KW - Super-resolution
KW - Textural classification
UR - http://www.scopus.com/inward/record.url?scp=78049437330&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-15696-0_10
DO - 10.1007/978-3-642-15696-0_10
M3 - Conference article published in proceeding or book
SN - 3642156959
SN - 9783642156953
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 100
EP - 110
BT - Advances in Multimedia Information Processing, PCM 2010 - 11th Pacific Rim Conference on Multimedia, Proceedings
T2 - 11th Pacific Rim Conference on Multimedia, PCM 2010
Y2 - 21 September 2010 through 24 September 2010
ER -