Removal of image defocus and motion blur effects with a nonlinear interpolative vector quantizer

David G. Sheppard, Kannan Panchapakesan, Ali Bilgin, Bobby R. Hunt, Michael W Marcellin

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Scopus citations

Abstract

In this paper, results are presented which demonstrate removal of image defocus and motion blur effects using an algorithm based on nonlinear interpolative vector quantization (NLIVQ). The algorithm is trained on original and diffraction-limited image pairs which are representative of the class of images of interest. The discrete cosine transform is used in the codebook design process to control complexity. Imagery processed with this algorithm demonstrate both qualitative and quantitative improvements (as measured by the peak signal-to-noise-ratio before and after processing).

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Sheppard, D. G., Panchapakesan, K., Bilgin, A., Hunt, B. R., & Marcellin, M. W. (1998). Removal of image defocus and motion blur effects with a nonlinear interpolative vector quantizer. In Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation (pp. 1-5). IEEE.