Image Quality estimation of Images using Full Reference and No Reference Method

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Deepak Kumar Dewangan
Yogesh Rathore


Image quality review is one of the challenging fields of digital image processing system. Measurement of visual quality is of elementary weight for abundant image and video processing applications, where the goal of quality assessment (QA) algorithms is to automatically judge the quality of images or videos in agreement with human quality judgments. The costing of image quality based on single strategy Human Vision System (HVS) may not very enough. We need some more dimensions. Full Reference method. Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), and Structural Content (SC)) may contribute to calculate efficient result to image quality measurements. However, it is not always possible to get the reference images to assess image quality. Human observers can easily recognize the distortion and degradation of image without referring to the original image. Therefore, there is absolutely necessary to develop objective quality assessment that correlates well with human perception without the reference image (No-Reference).




Keywords: Full Reference, No Reference, Quality Assessment


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