Most of Image Quality Assessment (IQA) metrics consist of two processes. In the first process, quality map of image is measured locally. In the second process, the last quality score is converted from the quality map ...Most of Image Quality Assessment (IQA) metrics consist of two processes. In the first process, quality map of image is measured locally. In the second process, the last quality score is converted from the quality map by using the pooling strategy. The first process had been made effective and significant progresses, while the second process was always done in simple ways. In the second process of the pooling strategy, the optimal perceptual pooling weights should be determined and computed according to Human Visual System (HVS). Thus, a reliable spatial pooling mathematical model based on HVS is an important issue worthy of study. In this paper, a new Visual Perceptual Pooling Strategy (VPPS) for IQA is presented based on contrast sensitivity and luminance sensitivity of HVS. Experimental results with the LIVE database show that the visual perceptual weights, obtained by the proposed pooling strategy, can effectively and significantly improve the performances of the IQA metrics with Mean Structural SIMilarity (MSSIM) or Phase Quantization Code (PQC). It is confirmed that the proposed VPPS demonstrates promising results for improving the performances of existing IQA metrics.展开更多
The concept of just noticeable difference (JND), which accounts for the visibility threshold (visual redundancy)of the human visual system,is useful in perceptionoriented signal processing systems.In this work,we pres...The concept of just noticeable difference (JND), which accounts for the visibility threshold (visual redundancy)of the human visual system,is useful in perceptionoriented signal processing systems.In this work,we present a comprehensive review of JND estimation technology.First, the visual mechanism and its corresponding computational modules are illustrated.These include luminance adaptation, contrast masking,pattern masking,and the contrast sensitivity function.Next,the existing pixel domain and subband domain YND models are presented and analyzed.Finally,the challenges associated with JND estimation are discussed.展开更多
基金Supported by the National Natural Science Foundation of China (No. 60832003, 60902096, 61171163, 61071120)the Scientific Research Foundation of Graduate School of Ningbo University
文摘Most of Image Quality Assessment (IQA) metrics consist of two processes. In the first process, quality map of image is measured locally. In the second process, the last quality score is converted from the quality map by using the pooling strategy. The first process had been made effective and significant progresses, while the second process was always done in simple ways. In the second process of the pooling strategy, the optimal perceptual pooling weights should be determined and computed according to Human Visual System (HVS). Thus, a reliable spatial pooling mathematical model based on HVS is an important issue worthy of study. In this paper, a new Visual Perceptual Pooling Strategy (VPPS) for IQA is presented based on contrast sensitivity and luminance sensitivity of HVS. Experimental results with the LIVE database show that the visual perceptual weights, obtained by the proposed pooling strategy, can effectively and significantly improve the performances of the IQA metrics with Mean Structural SIMilarity (MSSIM) or Phase Quantization Code (PQC). It is confirmed that the proposed VPPS demonstrates promising results for improving the performances of existing IQA metrics.
基金National Science and Technology Major Project(100447005)the scientific research plan projects of Shanxi Province Education Department,China(grant number:2010JK464)~~
基金the National Natural Science Foundation of China (Grant No.61401325)the Research Fund for the Doctoral Program of Higher Education (20130203130001)the Young Talent Fund of University Association for Science and Technology in Shaanxi (20150110).
文摘The concept of just noticeable difference (JND), which accounts for the visibility threshold (visual redundancy)of the human visual system,is useful in perceptionoriented signal processing systems.In this work,we present a comprehensive review of JND estimation technology.First, the visual mechanism and its corresponding computational modules are illustrated.These include luminance adaptation, contrast masking,pattern masking,and the contrast sensitivity function.Next,the existing pixel domain and subband domain YND models are presented and analyzed.Finally,the challenges associated with JND estimation are discussed.
