No-Reference Image and Video Quality Assessment (2011)
Abstract / truncated to 115 words
Image and video quality assessment has become an increasingly important subject in digital video coding and transmission scenarios, such as digital television. In this context, a special interest has been put on no-reference objective quality assessment metrics, since they are suitable for real-time quality monitoring once the video delivery system is settled. This Thesis proposes new no-reference quality assessment metrics for images and video. The main goal of the proposed techniques is to estimate the quality of lossy DCT-based encoded video. The proposed metrics share the same key idea: based on elements extracted from the bitstream of the encoded images or video arriving at the point where quality assessment has to be performed, an estimate ... toggle 6 keywordsno-reference quality assessment – image and video coding – perceptual models – parameter estimation – dct coefficient statistics – watermarking
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