DocumentCode
3165479
Title
A computational efficient algorithm for adaptive image compression
Author
Tatsaki, A. ; Stouraitis, T. ; Goutis, C.
Author_Institution
Patras Univ., Greece
fYear
1995
fDate
4-6 Jul 1995
Firstpage
50
Lastpage
54
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;
fLanguage
English
Publisher
iet
Conference_Titel
Image Processing and its Applications, 1995., Fifth International Conference on
Conference_Location
Edinburgh
Print_ISBN
0-85296-642-3
Type
conf
DOI
10.1049/cp:19950618
Filename
465572
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