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An HVS-Directed Neural-Network-Based Image Resolution Enhancement Scheme for Image Resizing
2007
IEEE transactions on fuzzy systems
In this paper, a novel human visual system (HVS)directed neural-network-based adaptive interpolation scheme for natural image is proposed. A fuzzy decision system built from the characteristics of the HVS is proposed to classify pixels of the input image into human perception nonsensitive class and sensitive class. Bilinear interpolation is used to interpolate the nonsensitive regions and a neural network is proposed to interpolate the sensitive regions along edge directions. High-resolution
doi:10.1109/tfuzz.2006.889875
fatcat:teviyqmifzhbxbnhbrduawnnam