# Blind Deconvolution Method using Omnidirectional Gabor Filter-based Edge Information

arXiv: https://arxiv.org/abs/1905.01003 · HTML: https://mlsanity.com/paper/1905.01003/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 3 May 2019.

## Built on by (most cited first, 1 of 1)

- [BLPnet: A new DNN model and Bengali OCR engine for Automatic License Plate Recognition](https://mlsanity.com/paper/2202.12250/) (2022)

## Abstract (arXiv)

In the previous blind deconvolution methods, de-blurred images can be obtained by using the edge or pixel information. However, the existing edge-based methods did not take advantage of edge information in ommi-directions, but only used horizontal and vertical edges when recovering the de-blurred images. This limitation lowers the quality of the recovered images. This paper proposes a method which utilizes edges in different directions to recover the true sharp image. We also provide a statistical table score to show how many directions are enough to recover a high quality true sharp image. In order to grade the quality of the deblurring image, we introduce a measurement, namely Haar defocus score that takes advantage of the Haar-Wavelet transform. The experimental results prove that the proposed method obtains a high quality deblurred image with respect to both the Haar defocus score and the Peak Signal to Noise Ratio.