Image processing method for eliminating jitter blur

Abstract

The invention provides an image processing method for eliminating jitter blur. According to the image processing method capable of eliminating jitter blurring, noise reduction processing and sharpening processing are carried out on an image in sequence; the sharpening processing result is used for determining fuzzy information corresponding to the image, re-based on the fuzzy information, through deep learning mode, performing first image operation processing on the image about the image spectrum to obtain an intermediate transformation image, and finally performing second image operation processing on the intermediate transformation image about the image resolution through a deep learning mode to eliminate jitter and blurring in the image so as to realize sharpening processing on the image.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image processing method for eliminating shake and blur. Background technique [0002] With the popularization of smart phones, smart phones have been integrated into people's life and work, and people can realize different forms of operations such as instant messaging, web browsing, entertainment and light office through smart phones. The reason why smart phones can achieve huge development is that smart phones combine traditional mobile phones with different functional modules such as cameras, so that smart phones are no longer limited to traditional call functions, and can also carry out other different forms of smart phones. operate. The camera function of the camera in the smart phone is continuously enhanced, and it is also convenient for people to take images anytime and anywhere, and share the captured images through the cloud in a timely manner. [0003] Alt...

AI Technical Summary

Problems solved by technology

In order to avoid the blurring of the captured image caused by hand shaking, the existing technology sets an anti-shake lens unit in the imaging lens system of the camera, and the anti-shake lens unit can move under the drive of the control signal. The movement of the lens unit can effectively counteract the defocusing caused by hand shake. Although this kind of anti-shake component in the form of hardware can effectively reduce the image blur caused by hand shake, but this method increases It reduces the size and hardware cost of the camera, and at the same time, it also puts forward higher requirements for the adjustment of the control signal. This obviously conflicts with the smart phone that pursues miniaturization, and it also puts forward more requirements for the control performance of the smart phone. demanding

It can be seen that in the prior art, the image blurring caused by hand shaking is processed by hardware, and there is no technology to overcome the image blurring caused by hand shaking by software processing.

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