Multichannel PSF (Point Spread Function) calibration method for simple lens imaging

Abstract

The invention discloses a multichannel PSF (Point Spread Function) calibration method for simple lens imaging and relates to the technical field of imaging restoration. The method comprises the steps of extracting R, G and B channel images of a color blurred image; through utilization of a blind convolution image restoration algorithm, estimating PSFs corresponding to the R, G and B channel images; carrying out deblurring processing on each channel image based on the PSF of each channel; carrying out dispersion correction on each channel independently; and integrating the processed R, G and B channel images to obtain the finally restored clear image. Compared with the traditional method of employing the same PSF for the three channels, the method has the advantages that the PSFs for separate channel estimation are more accurate, the deblurring effect is better, the problem that dispersion is further aggravated in the traditional deblurring process is effectively solved, and the restoration quality of the final image is improved well.

Description

technical field [0001] The invention mainly relates to the field of digital image processing, in particular to a multi-channel PSF calibration method for simple lens imaging. Background technique [0002] At present, SLR cameras are playing an increasingly important role in people's daily life. However, in order to compensate for the geometric distortion and aberration of the lens in the SLR lens and further improve the imaging quality, the design of the SLR lens is becoming more and more complex, even including dozens of independent optical devices. Complicated lenses will increase the volume and weight of the lens while improving the imaging quality, which will greatly increase the cost of the lens. In recent years, with the development of computational photography technology, simple lens combined with later image restoration algorithm is gradually becoming a new research direction in the field of camera design and image processing. [0003] A simple lens consists of onl...

AI Technical Summary

Problems solved by technology

This method mainly has the following two problems: (1) Due to the influence of the spherical shape of the lens in the simple lens, the PSFs of the three channels of the color image obtained by the simple lens are not exactly the same, and if they are processed uniformly, the PSF estimation will be inaccurate ; (2) The dispersion effect exists in each channel, and it will be further aggravated during the deblurring process. If the PSF estimation is not accurate, the dispersion effect in the final restored image will be intensified, thus affecting the image restoration quality

[0005] In Chinese patent application number ZL201510222290.9, a fast calibration method based on symmetry of single-lens computational imaging PSF is introduced. What is a unified PSF, which will affect the estimation accuracy of PSF, thus affecting the final image restoration effect

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