Presentation | 2015-03-05 Improvement of Color2Gray Algorithm by Consideration of Local Variance Meng MENG, BAO SHI, Go TANAKA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In usual color-to-gray conversion of color images, the lightness component of an input color image is assigned to gray level of an output monochrome image. However, features in an input color image is sometimes lost because three-dimension data which is RGB color components is converted into one-dimensional gray level. In this report, a new color-to-gray conversion which attaches importance to the local contrast improvement is proposed. The proposed method evaluates the local contrast by computing the local variance of pixel values in an input color image. Experiments show the effectiveness of the proposed method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Color2Gray algorithm / color-to-gray conversion / color image / contrast |
Paper # | SIS2014-92 |
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Committee | SIS |
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Conference Date | 2015/2/26(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Smart Info-Media Systems (SIS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Improvement of Color2Gray Algorithm by Consideration of Local Variance |
Sub Title (in English) | |
Keyword(1) | Color2Gray algorithm |
Keyword(2) | color-to-gray conversion |
Keyword(3) | color image |
Keyword(4) | contrast |
1st Author's Name | Meng MENG |
1st Author's Affiliation | Graduate School of Natural Sciences, Nagoya City University() |
2nd Author's Name | BAO SHI |
2nd Author's Affiliation | Graduate School of Natural Sciences, Nagoya City University |
3rd Author's Name | Go TANAKA |
3rd Author's Affiliation | Graduate School of Natural Sciences, Nagoya City University |
Date | 2015-03-05 |
Paper # | SIS2014-92 |
Volume (vol) | vol.114 |
Number (no) | 496 |
Page | pp.pp.- |
#Pages | 4 |
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