A remote sensing image super-resolution reconstruction algorithm based on adaptive joint constraint

Abstract

The invention discloses a remote sensing image super-resolution reconstruction method based on adaptive joint constraint. The method mainly comprises the following steps of: carrying out up-sampling on a low-resolution image by using bicubic interpolation; principal component analysis and K- The means method learns a dictionary of the high-resolution image; constructing a non-local sparse prior byutilizing the non-local self-similarity of the image; proposing a local structure filter based on an image local gradient, and then constructing a structure to keep local priori; fusing non-local priori and local priori, adaptively selecting parameters according to the noise level, and finally forming an adaptive joint priori; constructing a cost function, and then using an alternating iterationalgorithm for solving; finally, obtaining a high-quality image. The single remote sensing super-resolution reconstruction method provided by the invention has good performance in the aspect of keepingimage details, and has higher objective evaluation indexes. Therefore, the single remote sensing image super-resolution reconstruction method is an effective single remote sensing image super-resolution reconstruction method.

Description

technical field [0001] The invention relates to an image super-resolution reconstruction technology, in particular to a remote sensing image super-resolution reconstruction algorithm based on adaptive joint constraints, and belongs to the field of digital image processing. Background technique [0002] Images are an important means for human beings to acquire, express and transmit information, so images are of great significance to human beings. With the in-depth development of image processing technology, computer vision technology is widely used in various fields, such as scientific research, biomedicine, aerospace, industry, etc. However, the imaging equipment and imaging environment limit the resolution of the image, and the obtained image is often of low resolution, which cannot meet people's needs. Image super-resolution reconstruction technology is to reconstruct low-quality images into high-quality images without changing device performance and cost. Therefore, the...

AI Technical Summary

Problems solved by technology

However, the traditional super-resolution reconstruction method based on sparse representation ignores some complementary constraint information of the remote sensing image itself, which makes the performance of super-resolution reconstruction limited.

Images