Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1323
Title: An Study of Removal of Subjective Redundancy in JPEG for Low Cost, Low Power, Computation efficient Circuit Design and High Compression Image
Authors: Sharma, V K
Pati, U C
Mahapatra, K K
Keywords: Discrete cosine transform (DCT)
Image compression
JPEG
Quantization matrix
Subjective redundancy
Issue Date: Dec-2010
Citation: International Conference on Power, Control & Embedded Systems (ICPCES 2010), November 28- December 01, 2010
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 real-time 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.
Description: Copyright belongs to the Proceeding of Publisher
URI: http://hdl.handle.net/2080/1323
Appears in Collections:Conference Papers

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