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Technical Program
Paper Detail
| Paper: | MA-P5.9 |
| Session: | Image Representation, Rendering, Display, and Assesment |
| Time: | Monday, October 9, 09:40 - 12:20 |
| Presentation: |
Poster
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| Title: |
IMAGE QUALITY EVALUATION MODEL BASED ON LOCAL FEATURES AND SEGMENTATION |
| Authors: |
Yuukou Horita; University of Toyama | | | | | Masaharu Sato; University of Toyama | | | | | Yoshikazu Kawayoke; University of Toyama | | | | | Parvez Z. M. Sazzad; University of Toyama | | | | | Keiji Shibata; University of Toyama | | |
| Abstract: |
The objective picture quality evaluation model for coded still picture without using the reference is very useful for quality oriented image compression. In this paper, a new objective no-reference (NR) picture quality evaluation model for JPEG is presented, which is easy to calculate and applicable to various image coding applications. The proposed model is based on the local features of the picture such as edge, flat and texture area and also on the blockiness, activity measures, and zero-crossing rate within block of the picture. Our experiments on various picture distortion types indicate that it performs significantly better than the conventional model. |
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