Blind deconvolution of spatially invariant image blurs with phase

Mark Cannon

IEEE Transactions on Acoustics Speech and Signal Processing · 1976 · 425 citations · 11 references

Concepts

TL;DR

The study addresses estimating the frequency response of a spatially invariant linear system that blurs images. The paper proposes deblurring methods, including restoring the image density. The authors develop deblurring algorithms that reconstruct the image density. For uniform linear camera motion and out‑of‑focus lens systems, the power cepstrum of the image contains sufficient information to identify the blur, and the proposed restoration procedure is computationally modest and demonstrated on camera‑blurred images.

Abstract

This paper is concerned with the digital estimation of the frequency response of a two-dimensional spatially invariant linear system through which an image has been passed and blurred. For the cases of uniform linear camera motion and an out-of-focus lens system it is shown that the power cepstrum of the image contains sufficient information to identify the blur. Methods for deblurring are presented, including restoration of the density version of the image. The restoration procedure consumes only a modest amount of computation time. Results are demonstrated on images blurred in the camera.

References

11