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A novel neural-network-based image resolution enhancement

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4 Author(s)
Her-Chang Pu ; Dept. of Electr. & Control Eng., Nat. Chiao-Tung Univ., Hsinchu, Taiwan ; Chin-Teng Lin ; Sheng-Fu Liang ; Kumar, N.

In this paper, a novel HVS-directed neural-network-based adaptive interpolation scheme for natural image is proposed. A fuzzy decision system built from the characteristics of the human visual system (HVS) is proposed to classify pixels of the input image into human perception non-sensitive class and sensitive class. 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 higher visual quality of the interpolated image than the conventional interpolation methods.

Published in:

Fuzzy Systems, 2003. FUZZ '03. The 12th IEEE International Conference on  (Volume:2 )

Date of Conference:

25-28 May 2003

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