Presentation 2009-10-08
Comparison in Performance between Improved Conventional Methods and Cooperative Vision-Model-Based Method in Edge-Enhanced Image Sharpness Evaluation
Toshikazu MATSUI, Tomohiro FUJITA,
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Abstract(in English) It has been shown that the sharpness evaluation method based on the cooperative human vision model is superior in performance to conventional methods and their improved methods reformulated so as to reproduce fundamental characteristics on sharpness in the same way as the vision-model-based method. These results imply that the vision-model-based method's high performance can be caused by its image observing mechanism. In order to clarify the effectiveness of the vision-model-based method and the influence of the image observing mechanism on performance more definitely, we apply the both methods to sharpness evaluation for edge-enhanced images and compare these two performances. Consequently, for edge-enhanced images, the vision-model-based method was superior in performance to the improved methods under almost all the evaluation conditions. This result suggests that the image observing mechanism in human vision can also play an important role in image quality evaluation.
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Keyword(in English) Sharpness / Evaluation performance / Cooperative human vision model / Image observation / Edge-enhance
Paper # EID2009-24
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Committee EID
Conference Date 2009/10/1(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Comparison in Performance between Improved Conventional Methods and Cooperative Vision-Model-Based Method in Edge-Enhanced Image Sharpness Evaluation
Sub Title (in English)
Keyword(1) Sharpness
Keyword(2) Evaluation performance
Keyword(3) Cooperative human vision model
Keyword(4) Image observation
Keyword(5) Edge-enhance
1st Author's Name Toshikazu MATSUI
1st Author's Affiliation Graduate School of Engineering, Gunma University()
2nd Author's Name Tomohiro FUJITA
2nd Author's Affiliation Graduate School of Engineering, Gunma University
Date 2009-10-08
Paper # EID2009-24
Volume (vol) vol.109
Number (no) 223
Page pp.pp.-
#Pages 4
Date of Issue