Resolution Enhancement by Prediction of the High-Frequency Image Based on the Laplacian Pyramid
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According to recent advances in digital image processing techniques, interest in high-quality images has been increased. This paper presents a resolution enhancement (RE) algorithm based on the pyramid structure, in which Laplacian histogram matching is utilized for high-frequency image prediction. The conventional RE algorithms yield blurring near-edge boundaries, degrading image details. In order to overcome this drawback, we estimate an HF image that is needed for RE by utilizing the characteristics of the Laplacian images, in which the normalized histogram of the Laplacian image is fitted to the Laplacian probability density function (pdf), and the parameter of the Laplacian pdf is estimated based on the Laplacian image pyramid. Also, we employ a control function to remove overshoot artifacts in reconstructed images. Experiments with several test images show the effectiveness of the proposed algorithm.
KeywordsPyramid Probability Density Function Digital Image Processing Image Processing Technique Pyramid Structure
- 3.Gonzalez RC, Woods RE: Digital Image Processing. 2nd edition. Prentice-Hall, Upper Saddle River, NJ, USA; 2002.Google Scholar
- 7.Wang Q, Ward R: A contour-preserving image interpolation method. Proc. IEEE International Conference on Image Processing (ICIP '03), September 2003, Barcelona, Spain 3: 673–676.Google Scholar
- 12.Sun J, Zheng N-N, Tao H, Shum H-Y: Image hallucination with primal sketch priors. Proc. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR '03), June 2003, Madison, Wis, USA 2: 729–736.Google Scholar
- 15.Cheikh FA, Gabbouj M: Directional-rational approach for color image enhancement. Proc. IEEE Int. Symp. Circuits and Systems (ISCAS '00), May 2000, Geneva, Switzerland 3: 563–566.Google Scholar