jpex {DRIP} R Documentation

## Blind Image Deblurring

### Description

jpex() takes in any square matrix (noisy blurry image) and deblurs it.

### Usage

jpex(image, bandwidth, alpha, sigma)


### Arguments

 image An input blurry image to deblurred. The input image is represented a square matrix. bandwidth A positive integer that specifies the size of the neighborhood for local smoothing. alpha A numberic between 0 and 1. This is the signifance level for the Chi-square hypothesis test that a given pixel is in a continuity region and not affected by the blur. sigma A positive numeric for the noise level in the blurred image. It is used in the Chi-square test.

### Value

 deblurred The deblurred image edge The square matrix, the element of which is the value of the Chi-square test statistic at the pixel location. One can classify a given pixel as a blurry pixcel if edge[i,j]>qchisq(1-alpha, 2).

Yicheng Kang

### References

Kang, Y. (2020) “Consistent Blind Image Deblurring Using Jump-Preserving Extrapolation”, Journal of Computational and Graphical Statistics, 29(2), 372 – 382.

cv.jpex
library(DRIP)