Abstract
The available image quality assessment (IQA) methods based on gradient calculation are mostly implemented without considering visual perception threshold (VPT) and color information. However, incorporating VPT with IQA model can reduce redundant information and human visual system (HVS) is extremely sensitive to color variation. An improved image quality assessment in gradient domain is proposed which utilizes minimum amount of gradient coefficients to capture the color and structure distortion of degraded image by applying a VPT to remove the unperceived gradient coefficients. The difference of perceived gradient coefficients between distorted and reference image is measured to acquire image quality score. Experimental results on two benchmarking databases (LIVEII and TID2008) indicate the rationality and validity of the proposed method.
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Ren, Y., Lu, W., He, L., Xu, T. (2015). An Improved Image Quality Assessment in Gradient Domain. In: Zha, H., Chen, X., Wang, L., Miao, Q. (eds) Computer Vision. CCCV 2015. Communications in Computer and Information Science, vol 547. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48570-5_29
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DOI: https://doi.org/10.1007/978-3-662-48570-5_29
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