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Underwater color cast image sharpening method based on affine transformation

An affine transformation and underwater image technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as local color change deviation, improve color cast and contrast, restore image contrast, and enhance image contrast Effect

Pending Publication Date: 2022-01-21
DALIAN MARITIME UNIVERSITY
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Problems solved by technology

[0006] The present invention provides a method for clearing underwater color shift images based on affine transformation, so as to overcome the problems that the traditional color transfer method is not suitable for solving local color change deviation encountered in underwater highly color distorted images

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  • Underwater color cast image sharpening method based on affine transformation
  • Underwater color cast image sharpening method based on affine transformation
  • Underwater color cast image sharpening method based on affine transformation

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Embodiment Construction

[0042]In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. 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.

[0043] This embodiment provides a method for clearing underwater color shift images based on affine transformation, such as figure 1 , including the following steps:

[0044] Step 1. Obtain a reference image R and an underwater image X to be processed;

[0045] Step 2. Calculate the covariance C of the reference image R and the underwater im...

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Abstract

The invention discloses an underwater color cast image sharpening method based on affine transformation. The method comprises the following steps: acquiring a reference image and a to-be-processed underwater image; respectively calculating the covariance of the reference image and the to-be-processed underwater image; constructing an affine transformation model and a target function, and obtaining a transfer coefficient by using a gradient descent method; obtaining an image after color correction according to the transfer coefficient and the affine transformation model; constructing an atmospheric scattering transmission model, obtaining an intensity value of global atmospheric light scattering and an intensity value of global atmospheric light, and obtaining transmissivity; and calculating an enhanced detail layer through a gradient enhancement function so as to obtain different scale detail layers of the image after color correction, and obtaining an image after contrast enhancement through an image synthesis function equation. According to the method, local color fidelity and gradient constraint terms are added into the proposed method, and various degraded images under various color cast and different illumination conditions can be processed.

Description

technical field [0001] The invention relates to the field of digital image processing, in particular to an affine transformation-based method for clearing underwater color cast images. Background technique [0002] Most computer vision methods require input underwater images to be clearly visible scene content. However, when optical imaging is performed under poor visible light conditions, the transmitted light is attenuated greatly due to scattering and absorption effects, resulting in severe color distortion, low contrast and noise in the recorded underwater images. Low visibility limits their performance in object detection and remote sensing applications. [0003] Over the past few decades, a large number of methods have been developed to improve the quality of such degraded images. These methods can be roughly divided into two categories: methods based on multiple images and methods based on single images. [0004] Methods based on multiple images usually use special...

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Application Information

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IPC IPC(8): G06T5/00G06T3/00
CPCG06T2207/10024G06T3/02G06T5/90G06T5/73
Inventor 米泽田武文文付先平梁政
Owner DALIAN MARITIME UNIVERSITY
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