Color correction method for jointly optimizing global and local color consistency

Abstract

The invention provides a color correction method for jointly optimizing global and local color consistency. The color correction method mainly comprises the following steps of: step 1, carrying out super-pixel segmentation on an image; step 2, constructing a color correction model, namely for different superpixel parts in one image, modeling a mapping function by applying different linear models;step 3, optimizing model parameters, specifically, designing an energy function considering color consistency and gradient maintenance at the same time based on the model, and additionally fusing global color constraints to ensure that the corrected image has similar global hue; and finally, performing color correction on each part in the image according to a super-pixel segmentation result so asto realize generation of the large-scale synthetic image with color consistency. According to the color correction method, on the basis of global optimization, a local optimization model is provided based on superpixel segmentation, so that a color correction algorithm can effectively eliminate global and local color differences among a plurality of images, and the image gradient is reserved as much as possible.

Description

technical field [0001] The invention relates to the technical field of remote sensing image processing, in particular to a color correction method for joint optimization of global and local color consistency. Background technique [0002] Large-scale, multi-scale remote sensing images are widely used in urban planning, resource investigation, disaster monitoring, and environmental protection. However, the coverage of a single image is limited. In order to obtain a wide range of high-quality images and meet application requirements, it is necessary to stitch multiple images of the same source or heterogeneous sources, that is, image mosaic. Image mosaic is an important and classic research topic in the field of remote sensing and computer vision. It is used to combine a series of geometrically aligned images into a composite image that is as seamless as possible. It is to generate visually consistent panoramic images and digital orthophotos. The key technology of graph (DOM)...

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Problems solved by technology

[0006] The present invention proposes a color correction method for joint optimization of global and local color consistency, which is used to solve or at least partly solve the problem that the prior art method cannot eliminate the global and local color differences between multiple images, and the existing correction effect is not good. good technical questions

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