Title :
A computational efficient algorithm for adaptive image compression
Author :
Tatsaki, A. ; Stouraitis, T. ; Goutis, C.
Author_Institution :
Patras Univ., Greece
Abstract :
Presents an adaptive compression scheme for still images. According to the spatial activity of each block of the image, a different number of DCT coefficients are calculated. A lattice vector quantizer, where pyramids with different radius and dimensionality are used for the vector quantization of the coefficients of each block, is described. The proposed algorithm has a low computational complexity and results in high quality image reconstruction at low bit-rates per pixel
Keywords :
adaptive signal processing; computational complexity; discrete cosine transforms; image coding; image reconstruction; transform coding; vector quantisation; DCT coefficients; adaptive image compression; computational efficient algorithm; dimensionality; high quality image reconstruction; image block; lattice vector quantizer; low bit-rates; low computational complexity; pyramids; radius; spatial activity; still images;
Conference_Titel :
Image Processing and its Applications, 1995., Fifth International Conference on
Conference_Location :
Edinburgh
Print_ISBN :
0-85296-642-3
DOI :
10.1049/cp:19950618
