Research on feature point registration method for wireless multi-exposure images in mobile photography

Hui Xu

doi:10.1186/s13638-020-01695-4

Abstract

In the mobile shooting environment, the multi-exposure is easy to occur due to the impact of the jitter and the sudden change of ambient illumination, so it is necessary to deal with the feature point registration of the multi-exposure image under mobile photography to improve the image quality. A feature point registration technique is proposed based on white balance offset compensation. The global motion estimation of the image is carried out, and the spatial neighborhood information is integrated into the amplitude detection of the multi-exposure image under mobile photography, and the amplitude characteristics of the multi-exposure image under the mobile shooting are extracted. The texture information of the multi-exposure image is compared to that of a global moving RGB 3D bit plane random field, and the white balance deviation of the multi-exposure image is compensated. At different scales, suitable white balance offset compensation function is used to describe the feature points of the multi-exposure image, the parallax analysis and corner detection of the target pixel of the multi-exposure image are carried out, and the image stabilization is realized by combining the feature registration method. The simulation results show that the proposed method has high accuracy and good registration performance for multi-exposure image feature points under mobile photography, and the image quality is improved.

Highlights

With the development of computer image processing technology, the quality and accuracy of image acquisition and imaging are becoming more and more important.Cameras must sometimes be installed in a mobile shooting environment, and because of these mobile shooting environments, there will be instability in the image collection
In order to solve the above problems, this paper presents a feature point registration technique based on white balance offset compensation
The global motion estimation of the image is carried out, and the spatial neighborhood information is integrated into the amplitude detection of the multi-exposure image under mobile photography, and the amplitude characteristics of the multi-exposure image under the mobile shooting are extracted

Summary

Introduction

With the development of computer image processing technology, the quality and accuracy of image acquisition and imaging are becoming more and more important. The research of multi-exposure image feature point registration is mainly based on the block matching method, and some results have been obtained [3]. The multi-exposure image feature point registration is realized, and the image stabilization processing is completed in the time domain and frequency domain by using the weighted characteristic of the image feature. A multiexposure image feature point registration algorithm based on high-resolution gray projection is proposed. The white balance offset compensation function is chosen to describe the feature points of multi-exposure images at different scales, and the parallax analysis and corner detection of multi-exposure images are carried out. It is shown that the proposed method can improve the ability of feature point registration in mobile multi-exposure images.

Methods

Results and discussion

Funding None