The Experts below are selected from a list of 19797 Experts worldwide ranked by ideXlab platform

Jun Zhang - One of the best experts on this subject based on the ideXlab platform.

Zhou Wang - One of the best experts on this subject based on the ideXlab platform.

  • PERCEPTUAL NORMALIZED INFORMATION DISTANCE FOR IMAGE Distortion ANALYSIS BASED ON KOLMOGOROV COMPLEXITY
    2011
    Co-Authors: Nima Nikvand, Zhou Wang
    Abstract:

    Image Distortion analysis is a fundamental issue in many image processing problems, including compression, restoration, recognition, classification, and retrieval. In this work, we investigate the problem of image Distortion Measurement based on the theories of Kolmogorov complexity and normalized information distance (NID), which have rarely been studied in the context of image processing. Based on a wavelet domain Gaussian scale mixture model of images, we approximate NID using a Shannon entropy based method. This leads to a series of novel Distortion measures that are competitive with state‐of‐the‐art image quality assessment approaches.

  • video quality assessment based on structural Distortion Measurement
    Signal Processing-image Communication, 2004
    Co-Authors: Zhou Wang, Ligang Lu, A.c. Bovik
    Abstract:

    Objective image and video quality measures play important roles in a variety of image and video pro- cessing applications, such as compression, communication, printing, analysis, registration, restoration, enhancement and watermarking. Most proposed quality assessment ap- proaches in the literature are error sensitivity-based meth- ods. In this paper, we follow a new philosophy in designing image and video quality metrics, which uses structural dis- tortion as an estimate of perceived visual Distortion. A com- putationally ecient approach is developed for full-reference (FR) video quality assessment. The algorithm is tested on the video quality experts group (VQEG) Phase I FR-TV test data set. Keywords—Image quality assessment, video quality assess- ment, human visual system, error sensitivity, structural dis- tortion, video quality experts group (VQEG)

  • Video quality assessment using structural Distortion Measurement
    Proceedings. International Conference on Image Processing, 2002
    Co-Authors: Zhou Wang, Ligang Lu, A.c. Bovik
    Abstract:

    Objective image/video quality measures play important roles in various image/video processing applications, such as compression, communication, printing, analysis, registration, restoration and enhancement. Most proposed quality assessment approaches in the literature are error sensitivity-based methods. We follow a new philosophy in designing image/video quality metrics, which uses structural Distortion as an estimation of perceived visual Distortion. We develop a new approach for video quality assessment. Experiments on the video quality experts group (VQEG) test data set shows that the new quality measure has higher correlation with subjective quality Measurement than the proposed methods in VQEG's Phase I tests for full-reference video quality assessment.

A.c. Bovik - One of the best experts on this subject based on the ideXlab platform.

  • video quality assessment based on structural Distortion Measurement
    Signal Processing-image Communication, 2004
    Co-Authors: Zhou Wang, Ligang Lu, A.c. Bovik
    Abstract:

    Objective image and video quality measures play important roles in a variety of image and video pro- cessing applications, such as compression, communication, printing, analysis, registration, restoration, enhancement and watermarking. Most proposed quality assessment ap- proaches in the literature are error sensitivity-based meth- ods. In this paper, we follow a new philosophy in designing image and video quality metrics, which uses structural dis- tortion as an estimate of perceived visual Distortion. A com- putationally ecient approach is developed for full-reference (FR) video quality assessment. The algorithm is tested on the video quality experts group (VQEG) Phase I FR-TV test data set. Keywords—Image quality assessment, video quality assess- ment, human visual system, error sensitivity, structural dis- tortion, video quality experts group (VQEG)

  • Video quality assessment using structural Distortion Measurement
    Proceedings. International Conference on Image Processing, 2002
    Co-Authors: Zhou Wang, Ligang Lu, A.c. Bovik
    Abstract:

    Objective image/video quality measures play important roles in various image/video processing applications, such as compression, communication, printing, analysis, registration, restoration and enhancement. Most proposed quality assessment approaches in the literature are error sensitivity-based methods. We follow a new philosophy in designing image/video quality metrics, which uses structural Distortion as an estimation of perceived visual Distortion. We develop a new approach for video quality assessment. Experiments on the video quality experts group (VQEG) test data set shows that the new quality measure has higher correlation with subjective quality Measurement than the proposed methods in VQEG's Phase I tests for full-reference video quality assessment.

Zhenghui Feng - One of the best experts on this subject based on the ideXlab platform.

  • Conditional absolute mean calibration for partial linear multiplicative Distortion Measurement errors models
    Computational Statistics & Data Analysis, 2020
    Co-Authors: Jun Zhang, Bingqing Lin, Zhenghui Feng
    Abstract:

    Abstract In this paper we consider partial linear regression models when all the variables are measured with multiplicative Distortion Measurement errors. To eliminate the effect caused by the Distortion, we propose the conditional absolute mean calibration, which avoids to use the nonzero expectation conditions imposed on the variables. With these calibrated variables, a profile least squares estimator is obtained, associated with its normal approximation based and empirical likelihood based confidence intervals. For the hypothesis testing on parameters, a restricted estimator under the null hypothesis and a test statistic are proposed. A smoothly clipped absolute deviation penalty is employed to select the relevant variables. The resulting penalized estimators are shown to be asymptotically normal and have the oracle property. Lastly, a score-type test statistic is then proposed for checking the validity of partial linear models. We derive asymptotic distribution of the proposed test statistic. The quadratic form of the scaled test statistic has an asymptotic chi-squared distribution under the null hypothesis and follows a noncentral chi-squared distribution under local alternatives, which converge to the null hypothesis at a parametric rate. Simulation studies demonstrate the performance of our proposed procedure and a real example is analyzed as illustrate its practical usage.

  • Statistical inference for linear regression models with additive Distortion Measurement errors
    Statistical Papers, 2018
    Co-Authors: Zhenghui Feng, Jun Zhang, Qian Chen
    Abstract:

    We consider estimations and hypothesis test for linear regression Measurement error models when the response variable and covariates are measured with additive Distortion Measurement errors, which are unknown functions of a commonly observable confounding variable. In the parameter estimation and testing part, we first propose a residual-based least squares estimator under unrestricted and restricted conditions. Then, to test a hypothesis on the parametric components, we propose a test statistic based on the normalized difference between residual sums of squares under the null and alternative hypotheses. We establish asymptotic properties for the estimators and test statistics. Further, we employ the smoothly clipped absolute deviation penalty to select relevant variables. The resulting penalized estimators are shown to be asymptotically normal and have the oracle property. In the model checking part, we suggest two test statistics for checking the validity of linear regression models. One is a score-type test statistic and the other is a model- adaptive test statistic. The quadratic form of the scaled test statistic is asymptotically chi-squared distributed under the null hypothesis and follows a noncentral chi-squared distribution under local alternatives that converge to the null hypothesis. We also conduct simulation studies to demonstrate the performance of the proposed procedure and analyze a real example for illustration.

  • Partial Linear Single Index Models with Additive Distortion Measurement Errors
    Communications in Statistics - Theory and Methods, 2017
    Co-Authors: Jun Zhang, Zhenghui Feng
    Abstract:

    We study partial linear single-index models (PLSiMs) when the response and the covariates in the parametric part are measured with additive Distortion Measurement errors. These Distortions are mode...

Wenyu Liu - One of the best experts on this subject based on the ideXlab platform.

  • B-spline-based shape coding with accurate Distortion Measurement using analytical model
    Neurocomputing, 2015
    Co-Authors: Zhongyuan Lai, Zhen Zuo, Zhe Wang, Zhijun Yao, Wenyu Liu
    Abstract:

    Abstract In this paper, we present a new model to measure the contour point Distortion for the vertex-based shape coding with B-splines, called accurate Distortion Measurement using analytical model (ADMAM). Different from existing Distortion Measurements containing approximation, quantization or parameterization process, our Distortion is defined on the original B-spline. It is modeled as the shortest distance of associated contour point from the original B-spline, which is in line with the subjective-based objective quality metric. The geometric relationships are introduced to simplify the model computation, followed by a hybrid admissible Distortion checking algorithm to reduce the execution time. Our theoretical analysis and experimental results demonstrate that the ADMAM can lead to the smallest bit-rate among all the Distortion Measurements that guarantee the admissible Distortion, when the operational rate-Distortion optimal shape coding framework is applied. Moreover, if the original contour has NC points, it takes only O ( N C ) time for both peak and mean-squared segment Distortion measuring paradigms, which is the lowest computational complexity among all the existing Distortion Measurements.

  • ICIP - Accurate Distortion Measurement for B-spline-based shape coding
    2011 18th IEEE International Conference on Image Processing, 2011
    Co-Authors: Zhongyuan Lai, Zhen Zuo, Zhe Wang, Zhijun Yao, Wenyu Liu
    Abstract:

    In this paper, we present a new contour point Distortion Measurement, called accurate Distortion Measurement for B-spline-based shape coding (ADMBSC). Different from existing Distortion Measurements containing approximation, quantization or parameterization, our Distortion is defined as the shortest distance from the original B-spline to the associated contour point. This is in line with the subjective-based objective quality metric. Geometric relationships are introduced to simplify computation, followed by a hybrid admissible Distortion checking algorithm to reduce execution time. Theoretical analysis and experimental results demonstrate that when the operational rate-Distortion optimal shape coding framework under the minimum-maximum criterion is applied, the ADMBSC can lead to the smallest bit-rate among all the Distortion Measurements that can guarantee the admissible Distortion. Moreover, if the original contour has N C points, it takes only O(N C ) time for segment Distortion measuring paradigms, whose computational complexity is the same as the lowest one among the existing Distortion Measurements.

  • DCC - Accurate Distortion Measurement Using Analytical Model for the B-Spline-Based Shape Coding
    2011 Data Compression Conference, 2011
    Co-Authors: Zhongyuan Lai, Zhen Zuo, Zhe Wang, Wenyu Liu
    Abstract:

    In this paper, we present a new model to measure the contour point Distortion for the B-spline-based shape coding, called accurate Distortion Measurement using analytical model (ADMAM). It models the Distortion as the shortest distance of associate contour point from the approximating B-spline. Observing that this shortest path is perpendicular to the tangent vector of the approximating B-spline, we construct a parametric cubic equation by setting their dot product to be zero and address it by using Cartan's formula. The theoretical property and the experiments presented demonstrate that ADMAM can lead to the smallest bit-rate among all the Distortion Measurements that can guarantee the admissible Distortion, when the operational rate-Distortion optimal shape coding framework is applied. Moreover, if the original contour has NC points, it takes only O(NC) time for both a peak and mean-squared segment Distortion measuring paradigms, which is the lowest complexity among all the existing Distortion Measurements.