Image processing method and system based on multi-exposure fusion and backtracking algorithm

Abstract

The invention relates to an image processing method and system based on the multi-exposure fusion and the backtracking algorithm. The image processing method based on the multi-exposure fusion and the backtracking algorithm comprises the following steps: obtaining the original image data in the high dynamic photographing mode; performing coarse positioning on the original image data by means of the backtracking algorithm and obtaining a key frame; performing accurate positioning on a number of image frames starting from the key frame by means of the Euclidean distance, and obtaining the optimal image data; judging whether the optimal image data is obtained completely or not; if not, returning to the step of performing coarse positioning on the original image data by means of the backtracking algorithm and obtaining the key frame; if so, performing image fusion on the optimal image data by means of the multi-exposure fusion algorithm, and obtaining the fusion image data combined with the Laplasse product processing. By means of the image processing method and system based on the multi-exposure fusion and the backtracking algorithm, the dynamic folding and the artifact problem caused by the arm jitter is effectively restrained, the edge blur problem is eliminated, the processing speed of the data is improved, the real-time performance of the HDR photographing is ensured, and the appearance of black screen and dead machine under the pressure test of the camera is avoided.

Description

technical field [0001] The present invention relates to an HDR image processing method, and more specifically refers to an image processing method and system based on multi-exposure fusion and backtracking algorithms. Background technique [0002] Camera photography has become the status quo. At present, the quality of images captured by cameras varies. In order to highlight the imaging quality of cameras, multi-exposure fusion technology should be considered to form high dynamic image quality. [0003] However, due to the differences in the personal biological characteristics of the photographer, there is a phenomenon of arm shaking, which will affect the quality of the imaging, resulting in unnatural synthetic pictures, artifacts and overlapping phenomena, and there will be autofocus when the camera is turned on, which will inevitably lead to photo When the edge shooting is combined, the result is blurred. [0004] At present, people mostly use mobile phone cameras to tak...

AI Technical Summary

Problems solved by technology

[0003] However, due to the differences in the personal biological characteristics of the photographer, there is a phenomenon of arm shaking, which will affect the quality of the imaging, resulting in unnatural synthetic pictures, artifacts and overlapping phenomena, and there will be autofocus when the camera is turned on, which will inevitably lead to photo The blurred phenomenon in the composite result of edge shooting

[0004] At present, people mostly use mobile phone cameras to take pictures, and mobile phone cameras are one of the three most critical elements of existing mobile terminals. Although there are some high-quality HDR algorithms to process images taken by mobile phone cameras, if the processing speed is seriously , the mobile phone camera is very easy to cause stuck, black screen, and even cause the system to restart

In addition, the existing algorithms are more than theoretical research, and there are few mature solutions successfully transplanted to the overall camera module of the mobile phone. The existing high-quality HDR solutions are not based on the real-time processor of the mobile phone CPU, such as based on the Da Vinci platform. The existing algorithm is not familiar with the corresponding behavior specification of mobile phone camera APK, which leads to the inability to coordinate well with the application products when many image processing algorithms are proposed; for the automatic focus of the camera when the camera is turned on, the edge shooting is synthesized when taking pictures The phenomenon of fuzzy results, the existing algorithm initially solves this problem, such as the transition zone overflow correction scheme proposed by Guo Jianjian. However, at present, there is no algorithm to correct the image based on the differences in individual biological characteristics, thus ignoring the impact of manual shaking on imaging. quality impact, there are unnatural synthetic images as well as artifacts and overlaps

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