DocumentCode
1572780
Title
A low-power encoder architecture for pyramid vector quantization of 2D subband coefficients
Author
Namgoong, Won ; Devenport, Mark ; Meng, Teresa
Author_Institution
Comput. Syst. Lab., Stanford Univ., CA, USA
fYear
1995
Firstpage
391
Lastpage
400
Abstract
This paper describes a VLSI architecture designed to pyramid vector quantize (PVQ) 2-D subband image for low-power portable applications. Using the 0.8 μ CMOS process, the chip is estimated to dissipate less than 300 μW at a 1.5 V supply, encoding at 1.27 Mpixels/sec, for display of 240 pixels wide, 176 lines, and 30 frames per second, while introducing no noticeable degradation in the decompressed video quality. Low power consumption is achieved through efficient algorithm-to-hardware mapping requiring no multipliers, dividers, or external memory accesses, innovative computational methods, and reduction in supply voltage
Keywords
CMOS digital integrated circuits; VLSI; image coding; vector quantisation; 0.8 micron; 1.5 V; 240 pixel; 2D subband coefficients; 2D subband image; 300 muW; CMOS process; VLSI architecture; algorithm-to-hardware mapping; decompressed video quality; low-power encoder architecture; low-power portable applications; pyramid vector quantization; Application software; Computer architecture; Energy consumption; Entropy; Image coding; Laboratories; Portable computers; Rate-distortion; Vector quantization; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
VLSI Signal Processing, VIII, 1995. IEEE Signal Processing Society [Workshop on]
Conference_Location
Sakai
Print_ISBN
0-7803-2612-1
Type
conf
DOI
10.1109/VLSISP.1995.527510
Filename
527510
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