FAST IMAGE FILTERING PROCESSOR - FIFP.

Nobumoto Yamane; Yositaka Norikawa; Hiroshi Hamada

FAST IMAGE FILTERING PROCESSOR - FIFP.

Nobumoto Yamane, Yositaka Norikawa, Hiroshi Hamada

Research output: Contribution to journal › Conference article

Abstract

The authors describe a dedicated processor that can convolve a circular FIR filter of diameter 16 pixels to an image of 512 pixels multiplied by 512 pixels within 0. 5 s. Hexagonal sampling and a hexagonal sectioning method are used to realize the FIR filter, and discrete cyclic convolution, is performed using the Fermat number transform. The restoration of a blurred image is presented to show the effectiveness of the processor.

Original language	English
Pages (from-to)	565-568
Number of pages	4
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Publication status	Published - Dec 1 1986

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

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Yamane, N., Norikawa, Y., & Hamada, H. (1986). FAST IMAGE FILTERING PROCESSOR - FIFP. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 565-568.

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abstract = "The authors describe a dedicated processor that can convolve a circular FIR filter of diameter 16 pixels to an image of 512 pixels multiplied by 512 pixels within 0. 5 s. Hexagonal sampling and a hexagonal sectioning method are used to realize the FIR filter, and discrete cyclic convolution, is performed using the Fermat number transform. The restoration of a blurred image is presented to show the effectiveness of the processor.",

author = "Nobumoto Yamane and Yositaka Norikawa and Hiroshi Hamada",

year = "1986",

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AU - Norikawa, Yositaka

AU - Hamada, Hiroshi

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Y1 - 1986/12/1

N2 - The authors describe a dedicated processor that can convolve a circular FIR filter of diameter 16 pixels to an image of 512 pixels multiplied by 512 pixels within 0. 5 s. Hexagonal sampling and a hexagonal sectioning method are used to realize the FIR filter, and discrete cyclic convolution, is performed using the Fermat number transform. The restoration of a blurred image is presented to show the effectiveness of the processor.

AB - The authors describe a dedicated processor that can convolve a circular FIR filter of diameter 16 pixels to an image of 512 pixels multiplied by 512 pixels within 0. 5 s. Hexagonal sampling and a hexagonal sectioning method are used to realize the FIR filter, and discrete cyclic convolution, is performed using the Fermat number transform. The restoration of a blurred image is presented to show the effectiveness of the processor.

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JO - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

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