An HVS-Directed neural-network-based image resolution enhancement scheme for image resizing

作者：Lin Chin Teng^*; Fan Kang Wei; Pu Her Chang; Lu Shih Mao; Liang Sheng Fu

来源：IEEE Transactions on Fuzzy Systems, 2007, 15(4): 605-615.

DOI：10.1109/TFUZZ.2006.889875

• fuzzy decision system
• human visual system
• image interpolation
• neural network
• resolution enhancement

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 digital images along with supervised learning algorithms are used to automatically train the proposed neural network. Simulation results demonstrate that the proposed new resolution enhancement algorithm can produce a higher visual quality for the interpolated image than the conventional interpolation methods.

• 出版日期2007-8