The Experts below are selected from a list of 759 Experts worldwide ranked by ideXlab platform
Atsushi Imiya - One of the best experts on this subject based on the ideXlab platform.
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Theoretical Foundations of Computer Vision - Inverse Quantization for resolution conversion
Geometry Morphology and Computational Imaging, 2003Co-Authors: Akihiko Torii, T Ichinose, Y Wakazono, Atsushi ImiyaAbstract:In this paper, we introduce a resolution-conversion method for two- and three-dimensional discrete objects. We first derive a method for boundary extraction, second, introduce a method for the estimation of a smooth boundary, and third, construct an algorithm for resolution conversion.
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Inverse Quantization for resolution conversion
Lecture Notes in Computer Science, 2003Co-Authors: Akihiko Torii, T Ichinose, Y Wakazono, Atsushi ImiyaAbstract:In this paper, we introduce a resolution-conversion method for two- and three-dimensional discrete objects. We first derive a method for boundary extraction, second, introduce a method for the estimation of a smooth boundary, and third, construct an algorithm for resolution conversion.
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Inverse Quantization of digital binary images for resolution conversion
Lecture Notes in Computer Science, 2001Co-Authors: Atsushi Imiya, Yukiko KenmochiAbstract:In this paper, we propose an Inverse Quantization method for planar binary images. The expansion and superresolution of digital binary images involve the same mathematical properties because, for the achievement of these processes, we are required to estimate the original boundary from digitized images which are expressed as a collection of pixels. We first estimate an area through which the original boundary curve should pass through. This area is an orthogonal polygon torus whose two boundary curves are orthogonal polygons. Second, applying curvature flow operation to an orthogonal polygon in this area, we estimate a smooth boundary.
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Scale-Space - Inverse Quantization of Digital Binary Images for Resolution Conversion
Lecture Notes in Computer Science, 2001Co-Authors: Atsushi Imiya, Yukiko KenmochiAbstract:In this paper, we propose an Inverse Quantization method for planar binary images. The expansion and superresolution of digital binary images involve the same mathematical properties because, for the achievement of these processes, we are required to estimate the original boundary from digitized images which are expressed as a collection of pixels. We first estimate an area through which the original boundary curve should pass through. This area is an orthogonal polygon torus whose two boundary curves are orthogonal polygons. Second, applying curvature flow operation to an orthogonal polygon in this area, we estimate a smooth boundary.
Jun Teng - One of the best experts on this subject based on the ideXlab platform.
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Context-based Inverse Quantization and its application in wavelet image compression
2009 IEEE International Symposium on Circuits and Systems, 2009Co-Authors: Jicheng An, Quqing Chen, Zhibo Chen, Jun TengAbstract:In this paper, we propose a context-based Inverse Quantization and show its application in wavelet image compression. The proposed method breaks the traditional one-to-one mapping of the Quantization index to reconstruction value in Inverse Quantization while maps an index to several different reconstruction values according to the corresponding contexts of the index. By accurate context modeling, this method can reduce the Quantization distortion significantly. Since the Quantization indices used for encoding is not changed, this method does not increase the encoding bit rates except the negligible overhead.
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ISCAS - Context-based Inverse Quantization and its application in wavelet image compression
2009 IEEE International Symposium on Circuits and Systems, 2009Co-Authors: Jicheng An, Quqing Chen, Zhibo Chen, Jun TengAbstract:In this paper, we propose a context-based Inverse Quantization and show its application in wavelet image compression. The proposed method breaks the traditional one-to-one mapping of the Quantization index to reconstruction value in Inverse Quantization while maps an index to several different reconstruction values according to the corresponding contexts of the index. By accurate context modeling, this method can reduce the Quantization distortion significantly. Since the Quantization indices used for encoding is not changed, this method does not increase the encoding bit rates except the negligible overhead.
Long-wen Chang - One of the best experts on this subject based on the ideXlab platform.
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Highly imperceptible video watermarking with the Watson's DCT-based visual model
2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763), 2004Co-Authors: Han-min Tsai, Long-wen ChangAbstract:Digital watermarking plays an important role in copyright protection, content authentication, and annotation of digital multimedia. To embed a watermark quickly, we embed the watermark in the compressed domain instead of the frequency domain. For high imperceptibility, a new video watermarking, based on the human visual system (HVS), is proposed. It embeds the watermark in the block that is highly tolerant of noise. The proposed algorithm directly substitutes the variable length code (VLC) without Inverse Quantization and forward Quantization. It can greatly reduce computational complexity. In the experiment, we apply MPEG-1 video sequences as our test sequence and the results demonstrate the high imperceptibility of the watermark.
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ICME - Highly imperceptible video watermarking with the Watson's DCT-based visual model
2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763), 2004Co-Authors: Han-min Tsai, Long-wen ChangAbstract:Digital watermarking plays an important role in copyright protection, content authentication, and annotation of digital multimedia. To embed a watermark quickly, we embed the watermark in the compressed domain instead of the frequency domain. For high imperceptibility, a new video watermarking, based on the human visual system (HVS), is proposed. It embeds the watermark in the block that is highly tolerant of noise. The proposed algorithm directly substitutes the variable length code (VLC) without Inverse Quantization and forward Quantization. It can greatly reduce computational complexity. In the experiment, we apply MPEG-1 video sequences as our test sequence and the results demonstrate the high imperceptibility of the watermark.
Jicheng An - One of the best experts on this subject based on the ideXlab platform.
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Context-based Inverse Quantization and its application in wavelet image compression
2009 IEEE International Symposium on Circuits and Systems, 2009Co-Authors: Jicheng An, Quqing Chen, Zhibo Chen, Jun TengAbstract:In this paper, we propose a context-based Inverse Quantization and show its application in wavelet image compression. The proposed method breaks the traditional one-to-one mapping of the Quantization index to reconstruction value in Inverse Quantization while maps an index to several different reconstruction values according to the corresponding contexts of the index. By accurate context modeling, this method can reduce the Quantization distortion significantly. Since the Quantization indices used for encoding is not changed, this method does not increase the encoding bit rates except the negligible overhead.
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ISCAS - Context-based Inverse Quantization and its application in wavelet image compression
2009 IEEE International Symposium on Circuits and Systems, 2009Co-Authors: Jicheng An, Quqing Chen, Zhibo Chen, Jun TengAbstract:In this paper, we propose a context-based Inverse Quantization and show its application in wavelet image compression. The proposed method breaks the traditional one-to-one mapping of the Quantization index to reconstruction value in Inverse Quantization while maps an index to several different reconstruction values according to the corresponding contexts of the index. By accurate context modeling, this method can reduce the Quantization distortion significantly. Since the Quantization indices used for encoding is not changed, this method does not increase the encoding bit rates except the negligible overhead.
Han-min Tsai - One of the best experts on this subject based on the ideXlab platform.
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Highly imperceptible video watermarking with the Watson's DCT-based visual model
2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763), 2004Co-Authors: Han-min Tsai, Long-wen ChangAbstract:Digital watermarking plays an important role in copyright protection, content authentication, and annotation of digital multimedia. To embed a watermark quickly, we embed the watermark in the compressed domain instead of the frequency domain. For high imperceptibility, a new video watermarking, based on the human visual system (HVS), is proposed. It embeds the watermark in the block that is highly tolerant of noise. The proposed algorithm directly substitutes the variable length code (VLC) without Inverse Quantization and forward Quantization. It can greatly reduce computational complexity. In the experiment, we apply MPEG-1 video sequences as our test sequence and the results demonstrate the high imperceptibility of the watermark.
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ICME - Highly imperceptible video watermarking with the Watson's DCT-based visual model
2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763), 2004Co-Authors: Han-min Tsai, Long-wen ChangAbstract:Digital watermarking plays an important role in copyright protection, content authentication, and annotation of digital multimedia. To embed a watermark quickly, we embed the watermark in the compressed domain instead of the frequency domain. For high imperceptibility, a new video watermarking, based on the human visual system (HVS), is proposed. It embeds the watermark in the block that is highly tolerant of noise. The proposed algorithm directly substitutes the variable length code (VLC) without Inverse Quantization and forward Quantization. It can greatly reduce computational complexity. In the experiment, we apply MPEG-1 video sequences as our test sequence and the results demonstrate the high imperceptibility of the watermark.
