Three-sheet simple lens image restoration method based on convolution neural network CNN

A convolutional neural network and simple lens technology, applied in the field of image restoration, can solve the problems of unfavorable processing of a large number of images, long calculation time of image processing, complex image processing process, etc., and achieve the effect of increasing processing speed and simple and convenient image restoration process

CN107730469AInactive Publication Date: 2018-02-23CHANGSHA PANODUX TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2018-02-23
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a three-sheet simple lens image restoration method based on a convolution neural network CNN. The method comprises steps of firstly, generating a blurred image and clear imagedata set corresponding to three sheets of simple lenses; constructing a convolution neural network CNN model used for end-to-end image restoration; by use of the generated data set to train the CNN model; and for newly shot blurred images, by use of the trained CNN model, directly obtaining restored clear images. According to the invention, a large number of optimization iteration processes of blind convolution and non-blind convolution image restoration in the current method can be avoided; there is no need to independently estimate the PSF of the simple lenses, so the image restoration process of the three sheets of simple lenses are quite simple and convenient; the image processing speed is fast; and the method is very important in simple lens calculation and imaging field.
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Description

technical field

[0001] The invention relates to the field of image restoration, in particular to a three-piece simple lens image restoration method based on a convolutional neural network (CNN). Background technique

[0002] In recent years, computational imaging with simple lenses has gradually become a new research direction in the field of image restoration. Simple lens calculation imaging aims to use the optical lens structure as simple as possible at the front end combined with the post-image calculation method to obtain imaging quality similar to that of high-end cameras such as SLR cameras. Simple lens computational imaging can greatly reduce the cost of optical design of the lens, and has important research value in the fields of image restoration and optical design.

[0003] The lens of a simple lens usually only contains one, two or three lenses, and the front optical structure is simple, so the aberration and chromatic aberration of the lens itself will cause the...

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Embodiment Construction

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0031] Such as figure 1 As shown, a method for restoring images of three simple lenses based on a convolutional neural network CNN provided in this embodiment includes the following steps:

[0032] Step 1: Generate blurred image and clear image data sets corresponding to three simple lenses. The specific method includes the following steps:

[0033] Step 1.1: Display the checkerboard image in full screen on the computer screen, use three simple...