SSIM CRITERIA FOR ASSESSING IMAGE QUALITY
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Keywords. SSIM, image quality assessment, structural similarity index, PSNR, MSE, image analysis, noise effect, contrast, brightness, visual quality, computer vision, compressed images, algorithmic evaluation.##article.abstract##
Abstract. This article reviews the theoretical and practical aspects of the SSIM (Structural Similarity Index) criterion used in image quality assessment. SSIM is a metric that determines the degree of similarity in images based on the human visual system, allowing you to evaluate the differences between the structural structure, brightness and contrast of an image. Compared to traditional criteria such as MSE (Mean Squared Error) and PSNR (Peak Signal-to-Noise Ratio), SSIM evaluates image quality closer to real viewing conditions. The article analyzes in detail the SSIM formula, its main components and calculation methods. It also discusses the practical application of SSIM, its advantages and limitations, and highlights its role in image quality assessment.
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