DocumentCode :
538609
Title :
An study of removal of subjective redundancy in JPEG for low cost, low power, computation efficient circuit design and high compression image
Author :
Sharma, Vijay Kumar ; Pati, U.C. ; Mahapatra, K.K.
Author_Institution :
Dept. of Electron. & Comm. Eng., Nat. Inst. of Technol., Rourkela, India
fYear :
2010
fDate :
Nov. 29 2010-Dec. 1 2010
Firstpage :
1
Lastpage :
6
Abstract :
As the circuit complexity is increasing in demand for the more computations on a single VLSI chip, low power VLSI design has become important specially for portable devices powered by battery. Digital camera is one of them where realtime image capturing, compression and storage of compressed image data is done. Most of the digital camera implement JPEG baseline algorithm to store highly compressed image in camera memory. In this paper we report and present low cost, low power and computationally efficient circuit design of JPEG for digital camera to get highly compressed image by exploiting removal of subjective redundancy from the image.
Keywords :
VLSI; circuit complexity; data compression; discrete cosine transforms; image coding; integrated circuit design; JPEG baseline algorithm; VLSI design; circuit complexity; circuit design; digital camera; discrete cosine transform; image capturing; image compression; subjective redundancy removal; Computational efficiency; Discrete cosine transforms; Image coding; Image reconstruction; Quantization; Redundancy; Transform coding; Discrete cosine transform (DCT); Image compression; JPEG; Quantization matrix; Subjective redundancy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power, Control and Embedded Systems (ICPCES), 2010 International Conference on
Conference_Location :
Allahabad
Print_ISBN :
978-1-4244-8543-7
Type :
conf
DOI :
10.1109/ICPCES.2010.5698667
Filename :
5698667
Link To Document :
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