High performance, cost effective generalized filter architecture for image noise removal, image enhancement and edge detection

Jalaj Jain; Ajay Kumar Mishra

doi:10.1117/12.631403

24 June 2005 High performance, cost effective generalized filter architecture for image noise removal, image enhancement and edge detection

Jalaj Jain, Ajay Kumar Mishra

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Proceedings Volume 5960, Visual Communications and Image Processing 2005; 59600W (2005) https://doi.org/10.1117/12.631403
Event: Visual Communications and Image Processing 2005, 2005, Beijing, China

Abstract

Image processing technology is widely used in various consumer electronics products. Design of image filters plays a key role in image processing. And the design is further dependent on the target application. Moving from one application to other, the image filter has to be changed accordingly. Therefore, in this paper, high performance cost effective generalized filter architecture is proposed to handle various kind of noise in the image for applications like LCD display, TV noise etc, and image enhancer and edge detection. Proposed filter architecture is based on the concept of FIR filter and coring technique. Also we introduce a new scaling concept to take care of growing bits during arithmetic operation of filter. The filter architecture is fully pipelined, and implemented in the 90nm technology. The estimated gate count for the proposed filter is 50k, if used for all image components (Y/R, CB/G and CR/B) and the estimated frequency of operation is 500 MHz.

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Jalaj Jain and Ajay Kumar Mishra "High performance, cost effective generalized filter architecture for image noise removal, image enhancement and edge detection", Proc. SPIE 5960, Visual Communications and Image Processing 2005, 59600W (24 June 2005); https://doi.org/10.1117/12.631403

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KEYWORDS

Image filtering

Optical filters

Image enhancement

Finite impulse response filters

Edge detection

Linear filtering

Image processing

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