Presentation 2011-09-22
Stepwise Range Reduction Technique for Near-Lossless Image Coding
Hitoshi Obara, Hisashi Murayama, Masato Sakata,
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Abstract(in English) A new technique of near-lossless image coding is described. We call the technique 'Stepwise Range Reduction Method', or SRRM, where an image is divided into a number of small regions in a recursive manner until pixel values in each individual region converges within a prescribed range. This property assures a maximum error of pixel values generated in encoding to be predictable unlike JPEG, which is widely used at present. By setting the range to a proper value, SRRM functions as either lossless or lossy coding. When encoding with SRRM in our experiments, a high compression efficiency was achieved due to an efficient expression of those regions, using a tree-like data structure. Local quality of an image was easily improved by specifying the region of interest (ROI). When decoding, a global or local (or both) smoothing process was applied, if necessary, for better image quality. Generally, SRRM showed a higher compression ratio for artificial images than for natural images.
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Keyword(in English) Image coding / Near-lossless coding / File compression / Region division / Region of interest
Paper # SIS2011-29
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Conference Information
Committee SIS
Conference Date 2011/9/14(1days)
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Registration To Smart Info-Media Systems (SIS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Stepwise Range Reduction Technique for Near-Lossless Image Coding
Sub Title (in English)
Keyword(1) Image coding
Keyword(2) Near-lossless coding
Keyword(3) File compression
Keyword(4) Region division
Keyword(5) Region of interest
1st Author's Name Hitoshi Obara
1st Author's Affiliation Graduate School of Electrical and Electronic Engineering, Akita University()
2nd Author's Name Hisashi Murayama
2nd Author's Affiliation / Akita University
3rd Author's Name Masato Sakata
3rd Author's Affiliation
Date 2011-09-22
Paper # SIS2011-29
Volume (vol) vol.111
Number (no) 210
Page pp.pp.-
#Pages 6
Date of Issue