Single filters for combined image geometric manipulation and enhancement
C. B. Chittineni · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1993
This paper presents algorithms for simultaneous image geometric manipulation and enhancement. Single filters are developed for combined image translation, resizing, rotation, and enhancement of both single channel and multichannel/color images. Single filters have advantages for real time implementation and for minimizing artifacts produced by the sequential operations on the images. A filter structure is proposed for image sharpening, softening, blurring, and edge emphasis filtering. With the appropriate choice of the parameters, it is shown that the proposed structure can implement unsharp masking, local statistical filtering, and edge emphasis filtering. Image translation, resizing, and rotation geometric operations are combined with the structure in developing single filters. Closed form expressions are developed for real time implementation of the filters through lookup tables with different types of interpolations and for both linear and nonlinear enhancement kernels. A multichannel generalization of the algorithm is presented for simultaneous color image geometric manipulation and enhancement. Schemes are proposed for adapting the degree of enhancement based on local image information. The algorithm is applied for a number of electronic imaging applications and the evaluation results are presented.