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浏览/检索结果: 共3条，第1-3条 帮助 限定条件 内容类型：会议论文     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 The Application of Wavelet-Based Contourlet Transform on Compressed Sensing 会议论文 2012 International Conference on Multimedia and Signal Processing, Shanghai, China, December 7-9, 2012 作者:  Du M(杜梅);  Zhao HC(赵怀慈);  Zhao CY(赵春阳);  Li B(李波) 收藏  |  浏览/下载：86/0  |  提交时间：2012/12/28 Sparse Representation  Wavelet-Based Contourlet Transform  Block Compressed Sensing  Iterative Hard Thresholding Algorithm   Local variance based color image quality assessment method (EI CONFERENCE) 会议论文 2011 2nd International Conference on Advanced Measurement and Test, AMT 2011, June 24, 2011 - June 26, 2011, Nanchang, China Wang Y. 收藏  |  浏览/下载：18/0  |  提交时间：2013/03/25 In this paper  local variance is used to describe the structural information of a color image in order to assess its quality. The representation method is different from conventional models in that some information that is sensitive to human eyes is enhanced by using local variance distribution. It encodes the local variance distribution of different channels of a color image into the three imaginary parts of a quaternion. The distance between the singular value feature vectors of the source image block and the distorted image block which are described by quaternion matrices is calculated. The experimental results show that the assessment results of the proposed assessment method are more consistent with the Human Visual System than those of the conventional assessment methods.   Color image quality assessment based on quaternion representation for the local variance distribution of RGB Channels (EI CONFERENCE) 会议论文 2009 2nd International Congress on Image and Signal Processing, CISP'09, October 17, 2009 - October 19, 2009, Tianjin, China Yuqing W.; Ming Z. 收藏  |  浏览/下载：16/0  |  提交时间：2013/03/25 In this paper  Quaternions are used to describe the structural information of a color image in order to assess its quality. The representation method is different from conventional models in that some information that is sensitive to human eyes is reinforced by using local variance. It encodes the local variance distribution of the RGB channels of a color image into the three imaginary parts of a quaternion. The luminance layer of the color image is taken as the real part of the quaternion. The distance between the singular value feature vectors of the source image block and the distorted image block which are described by quaternion matrices is calculated. The final assessment result is calculated by using the mid point of the distances. The experimental results show that the assessment results of the proposed assessment method are more consistent with the Human Visual System than those of the conventional assessment methods. 2009 IEEE.