Brightness channel guided simple lens imaging blurring removing method

Abstract

The invention discloses a brightness channel guided simple lens imaging blurring removing method and relates to the technical field of image restoration. The method comprises the steps of converting an RGB colour image into a YUV format image; extracting brightness Y image; taking the brightness Y as a guide image; through utilization of a blind convolution image restoration algorithm, PSF (Point Spread Function) calibration of a simple lens is carried out; and through utilization of a non-blind convolution image restoration algorithm, deblurring processing is carried out on a blurring image, thereby obtaining a final clear image. Compared with the traditional method of directly carrying out PSF calibration through utilization of the RGB image, the method has the advantages that a brightness Y channel does not contain chrominance information, the influence of the dispersion of the simple lens on the PSF calibration precision can be avoided by taking the brightness Y channel as guide, and the restoration quality of the final image is improved.

Description

technical field [0001] The invention mainly relates to the field of digital image processing, in particular to a simple lens imaging blur removal method guided by brightness channels. Background technique [0002] At present, SLR cameras are playing an increasingly important role in people's daily lives. 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 post-image restoration algorithm has gradually become a new research direction in the field of camera design and image processing. [0003] A simple lens consist...

AI Technical Summary

Problems solved by technology

[0005] The traditional PSF calibration method directly uses the color image obtained by a simple lens to perform PSF calibration. The main problem of this method is: affected by the RGB image storage method, each channel image of the RGB image has dispersion, so directly by When estimating PSF of RGB image, it will be affected by dispersion effect in the image, resulting in low accuracy of PSF estimation.

Moreover, after estimating the PSF, due to the inaccuracy of the PSF, the dispersion effect will be more obvious in the subsequent deblurring process

[0006] In the Chinese patent application number ZL201510222290.9, a fast calibration method based on symmetry of single-lens computational imaging PSF is introduced. This method directly estimates PSF from RGB image. Affected by the dispersion effect in RGB image, the estimated PSF Does not meet the needs of high-quality simple lens imaging

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