A measure for perceptual image quality assessment
نویسندگان
چکیده
This paper addresses the issue of perceptual image quality assessment in image restoration systems. Firstly, experiments are conducted to evaluate perceived quality in images degraded only by frequency distortion. Based on the resulting experimental data, a distortion quality measure (DQM) is proposed. Then another experiment, whose test images present frequency distortion and noise injection, is achieved. From this latter experiment, a composed quality measure (CQM) is developed to assess perceived quality of images degraded by combined effects of frequency distortion and noise injection. The CQM is derived from DQM and NQM (noise quality measure), this latter has been recently proposed, and it can be used as a tool for evaluation and optimization of image restoration systems according to human visual perception.
منابع مشابه
A Novel Image Structural Similarity Index Considering Image Content Detectability Using Maximally Stable Extremal Region Descriptor
The image content detectability and image structure preservation are closely related concepts with undeniable role in image quality assessment. However, the most attention of image quality studies has been paid to image structure evaluation, few of them focused on image content detectability. Examining the image structure was firstly introduced and assessed in Structural SIMilarity (SSIM) measu...
متن کاملA HVS based Perceptual Quality Estimation Measure for Color Images
Human eyes are the best evaluation model for assessing the image quality as they are the ultimate receivers in numerous image processing applications. Mean squared error (MSE) and peak signal-to-noise ratio (PSNR) are the two most common full-reference measures for objective assessment of the image quality. These are well known for their computational simplicity and applicability for optimizati...
متن کاملMulti-resolution Structural Degradation Metrics for Perceptual Image Quality Assessment
In this paper, a multi-resolution analysis is proposed for image quality assessment. Structural features are extracted from each level of a pyramid decomposition that accurately represents the multiple scales of processing in the human visual system. To obtain an overall quality measure the individual level metrics are accumulated over the considered pyramid levels. Two different metric design ...
متن کاملLow Bit Rate Video Quality Assessment Based on Perceptual Characteristics
Peak signal-to-noise ratio (PSNR) is not a good measure of perceived picture quality, especially at low bit rates of coding. This paper proposes a new approach for computing perceptual distortion for visual signal in order to provide an objective measure for perceptual quality at low bit rate coding in typically mobile communications. The regions with three major perceptually disturbing artefac...
متن کاملQuality Assessmentof Screen Content Images
Research on Screen Content Images (SCIs) has become important as they are used frequently in multi-device communication applications. Perceptual quality is assessed for distorted SCIs subjectively and objectively. A screen image quality assessment database (SIQAD) consisting of 20 source and 980 distorted SCIs is constructed. A subjective quality scores is used for estimating which part (text o...
متن کامل