Presentation 1996/9/27
Hysteresis Quantizer
Kenya JIN'NO, Mamoru TANAKA,
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Abstract(in English) This article proposes a hysteresis quantizer by using hysteresis neural networks. This hysteresis quantizer can output a suitable quantization level for any input signal. The circuit implementation of this system can be realized easily. Changing its weight, this system can quantize various levels. Also, we propose its application for image processing which can be intensity conversion. We show that an area intensity method can get high quality output images.
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Keyword(in English) hysteresis / quantizer / neural networks / image processing / halftoning / area intensity
Paper # CAS96-36,NLP96-74
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Committee CAS
Conference Date 1996/9/27(1days)
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Registration To Circuits and Systems (CAS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Hysteresis Quantizer
Sub Title (in English)
Keyword(1) hysteresis
Keyword(2) quantizer
Keyword(3) neural networks
Keyword(4) image processing
Keyword(5) halftoning
Keyword(6) area intensity
1st Author's Name Kenya JIN'NO
1st Author's Affiliation Department of Electrical Electronics Engineering, Sophia University()
2nd Author's Name Mamoru TANAKA
2nd Author's Affiliation Department of Electrical Electronics Engineering, Sophia University
Date 1996/9/27
Paper # CAS96-36,NLP96-74
Volume (vol) vol.96
Number (no) 272
Page pp.pp.-
#Pages 8
Date of Issue