Chun-Hsien Chou - Academia.edu (original) (raw)
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Papers by Chun-Hsien Chou
2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013
Fifth International Conference on Graphic and Image Processing (ICGIP 2013), 2014
ABSTRACT
2011 Seventh International Conference on Computational Intelligence and Security, 2011
An accurate assessment of image quality is crucial to the success of many image processing system... more An accurate assessment of image quality is crucial to the success of many image processing systems, where the numerical outcome evaluated by objective measurement is expected to be consistent with the subjective assessment made by human being. In this paper, a new image quality metric based on measuring the similarity of the structural information inherent in digital images is proposed. The structural information is defined geometrically and statistically in a block basis, where geometrical structure information is obtained from the binary quantization that preserves the first two moments of the image block. Statistical structure information includes the luminance mean and contrast calculated from the pixels of two different groups after the binary classification. To verify the validity of the proposed metric, the correlation between objective and subjective scores is inspected and compared with that obtained by famous MSSIM, in which a large amount of test images in LIVE database are assessed. The cross-distortion test results show that the proposed metric outperforms MSSIM in judging the distorted images corrupted by JPEG2000, Gaussian blurring, white noises and fast fading and has the performance close to MSSIM in judging the distorted images corrupted by JPEG.
Red-eye is a highly objectionable defect that often occurs in digital images taken with a flash b... more Red-eye is a highly objectionable defect that often occurs in digital images taken with a flash by modern small cameras. Although many red-eye reduction algorithms were proposed and equipped in most of the digital cameras, none of these algorithms is effective enough. In this paper, an algorithm for automatic detection and correction of red-eyes is proposed. The color detector based on uniform color metric is developed to locate regions of major colors including red-eye color and skin tone. The structure of major colors is adopted to locate candidate red-eye regions. The geometric relationship between the dimension of the human pupil and binocular distance is employed to eliminate most false positives (image regions that look like red-eyes but are not). More than one pairs of red-eyes snapped in different view angles are detected by the proposed algorithm. Detected red-eyes are then corrected by modifying chroma, hue angles and luminance of the associated pixels such that red color ...
2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013
Fifth International Conference on Graphic and Image Processing (ICGIP 2013), 2014
ABSTRACT
2011 Seventh International Conference on Computational Intelligence and Security, 2011
An accurate assessment of image quality is crucial to the success of many image processing system... more An accurate assessment of image quality is crucial to the success of many image processing systems, where the numerical outcome evaluated by objective measurement is expected to be consistent with the subjective assessment made by human being. In this paper, a new image quality metric based on measuring the similarity of the structural information inherent in digital images is proposed. The structural information is defined geometrically and statistically in a block basis, where geometrical structure information is obtained from the binary quantization that preserves the first two moments of the image block. Statistical structure information includes the luminance mean and contrast calculated from the pixels of two different groups after the binary classification. To verify the validity of the proposed metric, the correlation between objective and subjective scores is inspected and compared with that obtained by famous MSSIM, in which a large amount of test images in LIVE database are assessed. The cross-distortion test results show that the proposed metric outperforms MSSIM in judging the distorted images corrupted by JPEG2000, Gaussian blurring, white noises and fast fading and has the performance close to MSSIM in judging the distorted images corrupted by JPEG.
Red-eye is a highly objectionable defect that often occurs in digital images taken with a flash b... more Red-eye is a highly objectionable defect that often occurs in digital images taken with a flash by modern small cameras. Although many red-eye reduction algorithms were proposed and equipped in most of the digital cameras, none of these algorithms is effective enough. In this paper, an algorithm for automatic detection and correction of red-eyes is proposed. The color detector based on uniform color metric is developed to locate regions of major colors including red-eye color and skin tone. The structure of major colors is adopted to locate candidate red-eye regions. The geometric relationship between the dimension of the human pupil and binocular distance is employed to eliminate most false positives (image regions that look like red-eyes but are not). More than one pairs of red-eyes snapped in different view angles are detected by the proposed algorithm. Detected red-eyes are then corrected by modifying chroma, hue angles and luminance of the associated pixels such that red color ...