Presentation 2011-06-30
A Lloyd-Max Based Quantization Algorithm for Digital Images with Sparse Histogram
Takuya SHIMOJOH, Hiroki IIDUKA, Masahiro IWAHASHI, Hitoshi KIYA,
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Abstract(in English) This paper proposes an improved implementation method based on Lloyd-Max criteria for digital images with sparse histogram. Lloyd-Max criteria is known as the best quantization method to minimize mean square error. However, since sufficient condition is unconsidered when Lloyd-Max criteria is implemented, it is not always deliver optimal performance. We present an improved implementation method and simulated how it quantizes better using high dynamic range image(HDR). Our method deliver better image quality than Lloyd-Max method that is mounted MATLAB, and it is more effective for divided images than conventional one.
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Keyword(in English) high dynamic range image / quantization / Lloyd-Max algorithm
Paper # CAS2011-1,VLD2011-8,SIP2011-30,MSS2011-1
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Conference Date 2011/6/23(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) A Lloyd-Max Based Quantization Algorithm for Digital Images with Sparse Histogram
Sub Title (in English)
Keyword(1) high dynamic range image
Keyword(2) quantization
Keyword(3) Lloyd-Max algorithm
1st Author's Name Takuya SHIMOJOH
1st Author's Affiliation Faculty of System Design, Tokyo Metropolitan University:Graduate School of Engineering, The University of Tokyo()
2nd Author's Name Hiroki IIDUKA
2nd Author's Affiliation Faculty of System Design, Tokyo Metropolitan University:NEC Soft, Ltd.
3rd Author's Name Masahiro IWAHASHI
3rd Author's Affiliation Department of Electrical Engineering, Nagaoka University of Technology
4th Author's Name Hitoshi KIYA
4th Author's Affiliation Faculty of System Design, Tokyo Metropolitan University
Date 2011-06-30
Paper # CAS2011-1,VLD2011-8,SIP2011-30,MSS2011-1
Volume (vol) vol.111
Number (no) 105
Page pp.pp.-
#Pages 6
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