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Access type: UnknownAuthor: search.filters.author.Yamsang, Nuntapong

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    Image quality assessment for JPEG and JPEG2000
    (2008-12-29)
    Sakuldee, Ratchakit
    ;
    Yamsang, Nuntapong
    ;
    Udomhunsakul, Somkait
    Assessment of the compressed image quality is an important issue for image processing system. In this paper, we propose a novel objective assessment to measure the quality of gray scale compressed image, which is developed from the fundamental objective measurement. It is also correlated well with human response and least time taken comparable to some existing measurements. The proposed measurement, Spatial Frequency Measurement (SFM) is adopted to enhance the image quality evaluation performance. From the experimental results, we found that Mean Average Error (MAE) with SFM (MAESFM) is the suitable measurements that can be used to measure the quality of JPEG and JPEG2000 compressed images. In addition, MAESFM measurement is scaled to make them equivalent to MOS, given the rate of compressed image quality from 1 to 5 (unacceptable to excellent quality). © 2008 IEEE.
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    Influence of SFM to objective assessment of compressed image
    (2007-12-31)
    Yamsang, Nuntapong
    ;
    Udomhunsakul, Somkait
    Evaluation of the quality of image compression still remains an important issue. In this paper, we propose a novel objective assessment to evaluate the quality of gray scale compressed images. An image characteristic measurement, Spatial Frequency Measurement (SFM), is employed to get the new objective measurements, which are Mean Square Error with SFM (MSESFM), Edge Measurement with SFM (ESFM) and Correlation Measurement with SFM (CSFM). From the experiments, we found that SFM influences to the objective assessment. In addition, the reliabilities of the new measures have been improved and better match the subjective assessment than using the traditionally simple objective assessments. © 2007 IEEE.
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    Distribution model between objective measurement and subjective measurement
    (2007-06-26)
    Yamsang, Nuntapong
    ;
    Udomhunsakul, Somkait
    Evaluation of the quality of image compression still remains an important issue. In this work, we propose the new objective measurements, which are developed from five traditionally simple measurements (Mean Square Error, Edge Measurement, Correlation Measurement, Visual Human System and Spectral Measurement). In our study, we evaluated the quality of the compressed gray-scale images using both objective and subjective tests. We found the relationship between objective and subjective measurements from the distribution data that can be modeled and defined by exponential least square method. From the experimental results, the reliabilities (Correlation coefficient) of our new proposed measurements are better than five traditionally simple measurements. © 2007 IEEE.