DocumentCode
1850697
Title
DPCM for quantized block-based compressed sensing of images
Author
Mun, Sungkwang ; Fowler, James E.
Author_Institution
Dept. of Electr. & Comput. Eng., Mississippi State Univ., Starkville, MS, USA
fYear
2012
fDate
27-31 Aug. 2012
Firstpage
1424
Lastpage
1428
Abstract
Differential pulse-code modulation is coupled with uniform scalar quantization to provide block-based quantized compressed sensing of images. Experimental results demonstrate significant improvement in rate-distortion performance as compared scalar quantization used alone in several block-based compressed-sensing reconstruction algorithms. Additionally, rate-distortion performance superior to that of alternative quantized-compressed-sensing techniques relying on optimized quantization or reconstruction is observed.
Keywords
differential pulse code modulation; image reconstruction; DPCM; block-based compressed-sensing reconstruction algorithms; differential pulse-code modulation; image quantized block-based compressed sensing; optimized quantization; optimized reconstruction; quantized-compressed-sensing techniques; rate-distortion performance; uniform scalar quantization; Bit rate; Compressed sensing; Image reconstruction; PSNR; Quantization; Rate-distortion; Sensors; Compressed sensing; DPCM; quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
Conference_Location
Bucharest
ISSN
2219-5491
Print_ISBN
978-1-4673-1068-0
Type
conf
Filename
6334009
Link To Document