Image self-learning enhancement method and system

Abstract

The invention discloses an image self-learning enhancement method and system. The method comprises the following steps that an image self-learning assessment unit is trained, and optimal enhancement algorithms corresponding to the types of different images are determined according to the types of different images; and a real-time image acquired by an image acquisition unit is transmitted to a real-time image enhancement unit, and the real-time image enhancement unit acquires image feature parameters of the real-time image acquired at present, determines the type of the image according to the real-time image feature parameters, acquires the optimal enhancement algorithm corresponding to the image type from the image self-learning assessment unit and conducts enhancement processing on the real-time image by using the optimal enhancement algorithm corresponding to the image type. Accordingly, the problem that the sea area images acquired in real time are not clear can be effectively solved, and the method and system are beneficial for technicians to observe the maritime environment and have a wide prospect in the fields of national defense, security protection, maritime search and rescue and the like.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an image self-learning enhancement method and system. Background technique [0002] The method of image enhancement is to add some information or transform data to the original image by certain means, selectively highlight the features of interest in the image or suppress some unwanted features in the image, so that the image matches the visual response characteristics. Image enhancement can be divided into two categories: frequency domain methods and spatial domain methods. The frequency domain method regards the image as a two-dimensional signal, and performs signal enhancement based on two-dimensional Fourier transform. The low-pass filtering method can remove the noise in the picture; the high-pass filtering method can enhance high-frequency signals such as edges and make blurred pictures clear. The representative algorithms in the space domain method include the local avera...

AI Technical Summary

Problems solved by technology

[0004] To this end, it is necessary to provide a technical solution for image self-learning enhancement to solve the problems of unclear images and inability to reflect details in sea area images collected by image acquisition equipment.

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