论文信息 - Some algorithms for image enhancement incorporating human visual response

Some algorithms for image enhancement incorporating human visual response

Abstract Any image processing technique which is used to improve the appearance of an image for human perception or machine analysis should incorporate the characteristics of the human visual system. One of the major characteristics of the human visual system is the logarithmic response to light intensity, which we have attempted to include in this paper. Some new algorithms for image enhancement, edge detection and smoothing have been described and their results are presented. Only the edge detection technique is space-variant. All the techniques are simple and economical, and can be supplied to each pixel in parallel.

[1] M. Nagao,et al. Edge preserving smoothing , 1979 .

[2] F. R. D. Velasco,et al. Some new image smoothing techniques , 1979 .

[3] F. Tomita,et al. Extraction of Multiple Regions by Smoothing in Selected Neighborhoods , 1977 .

[4] Azriel Rosenfeld,et al. Digital Picture Processing , 1976 .

[5] Jr. Thomas G. Stockham,et al. Image processing in the context of a visual model , 1972 .

[6] Lawrence G. Roberts,et al. Machine Perception of Three-Dimensional Solids , 1963, Outstanding Dissertations in the Computer Sciences.

[7] A. Rosenfeld,et al. Edge and Curve Detection for Visual Scene Analysis , 1971, IEEE Transactions on Computers.

[8] A. Rosenfeld. A nonlinear edge detection technique , 1970 .

[9] Werner Frei,et al. Image Enhancement by Histogram Hyperbolization , 1977 .

[10] Ernest L. Hall,et al. A Survey of Preprocessing and Feature Extraction Techniques for Radiographic Images , 1971, IEEE Transactions on Computers.