Image decomposition-based structural similarity index for image quality assessment
نویسندگان
چکیده
منابع مشابه
Content-partitioned structural similarity index for image quality assessment
The assessment of image quality is important in numerous image processing applications. Two prominent examples, the Structural Similarity Image (SSIM) index and Multi-scale Structural Similarity (MS-SSIM) operate under the assumption that human visual perception is highly adapted for extracting structural information from a scene. Results in large human studies have shown that these quality ind...
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The image quality assessment has been widely used in image processing. Several researches have been developed and carried considering the Human Visual System (HVS). Under the hypothesis that human visual perception is extremely adapted to retrieve structural information from a scene, the SSIM index is the most widely used in this area, which leads to a better correlation with HVS. Despite its r...
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It is widely believed that the statistical properties of the natural visual environment play a fundamental role in the evolution, development and adaptation of the human visual system (HVS). An important observation about natural image signals is that they are highly structured. By “structured signal”, we mean that the signal samples exhibit strong dependencies amongst themselves, especially wh...
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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...
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In this paper, we propose a novel image quality assessment (IQA) based on an Improved Structural SIMilarity (ISSIM) which considers the spatial distributions of image structures. The existing structural similarity (SSIM) metric, which measures structure loss based on statistical moments, i.e., the mean and variance, represents mainly the luminance change of pixels rather than describing the spa...
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ژورنال
عنوان ژورنال: EURASIP Journal on Image and Video Processing
سال: 2016
ISSN: 1687-5281
DOI: 10.1186/s13640-016-0134-5