Efficient image deblurring via blockwise non-blind deconvolution algorithm
Journal
2015 10th International Conference on Information, Communications and Signal Processing, ICICS 2015
Date Issued
2016
Author(s)
Abstract
Image deblurring aims to restore the quality of degraded images and plays an important role in many multimedia applications. Implementing a deblurring algorithm directly, however, is usually computationally expensive, especially for high-resolution images. In this paper, we propose to first partition the image in blocks (sub-images) and then implement the deblurring algorithm on a block basis for deblurring high-resolution or large-dimension images. Overlap regions among blocks are linearly filtered to reduce the distortion at the edge due to the block-based implementation. Simulations demonstrate that the proposed method achieves satisfactory result with much less computation time.
Type
conference paper