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Reduced Reference Image Quality Assessment Technique Based on DWT and Path Integral Local Binary Patterns

机译:基于小波变换和路径积分局部二值模式的简化参考图像质量评估技术

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摘要

In the prevailing technological advancements, image and video services are one of the primary concerns of researches aroundthe world. The transmission of multimedia contents involved various types of attenuations such as blurring, ringing, contrast,and blocking. To evaluate the quality of the image or video, researchers presented various quality assessment techniques,including subjective and objective assessments. In this article, a robust reduced reference image quality assessment techniquebased on the objective assessment is presented, which considers the extracted features of the underlying image to evaluate itsquality. The proposed method uses a discrete wavelet transform-based path integral local binary pattern histogram as extractedfeatures. These features of the reference and testing image are compared by a Euclidean distance formula to generate a singlevalue to evaluate the quality of the image. The qualitative and quantitative analysis of the proposed method is carried on threedifferent image datasets, namely LIVE, TID2013, and CSIQ. The experimental results of the proposed method indicate thatit produces robust performance in terms of performance evaluation metrics as compared with state-of-the-art methods.
机译:在当前的技术进步中,图像和视频服务是世界范围内研究的主要关注之一。多媒体内容的传输涉及各种类型的衰减,例如模糊,振铃,对比度和阻塞。为了评估图像或视频的质量,研究人员介绍了各种质量评估技术,包括主观和客观评估。在本文中,提出了一种基于客观评估的鲁棒降低参考图像质量评估技术,该技术考虑了基础图像的提取特征以评估其质量。所提出的方法使用基于离散小波变换的路径积分局部二进制模式直方图作为提取特征。通过欧几里德距离公式比较参考图像和测试图像的这些特征,以生成单个值来评估图像的质量。在三个不同的图像数据集,即LIVE,TID2013和CSIQ上,对该方法进行了定性和定量分析。提出的方法的实验结果表明,与最新技术相比,该方法在性能评估指标方面具有强大的性能。

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