Multi-exposure image deghosting integration method based on low-rank matrix recovery

A low-rank matrix, fusion method technology, applied in the field of high dynamic range images, which can solve problems such as image artifacts and blurring

Active Publication Date: 2017-02-01
SYSU CMU SHUNDE INT JOINT RES INST +2
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Problems solved by technology

[0003] In view of the above deficiencies, the present invention provides an improved low-rank matrix restoration multi-exposure image artifact fusion method to solve the phenomenon of artifacts or blurring in existing fused images

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  • Multi-exposure image deghosting integration method based on low-rank matrix recovery
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  • Multi-exposure image deghosting integration method based on low-rank matrix recovery

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Embodiment Construction

[0084] The present invention will be further elaborated below in conjunction with the accompanying drawings.

[0085] Such as figure 1 As shown, the multi-exposure image fusion method based on low-rank matrix restoration of the present invention includes: 1) normalizing the input multi-exposure image sequence; 2) using a camera to normalize the multi-exposure image sequence Response function to achieve radiometric calibration; 3) vectorize each radiometrically corrected image in the multi-exposure image sequence as a column vector of the data matrix; 4) use the low-rank matrix recovery algorithm to solve the low-rank matrix of the data matrix; 5) use the low-rank matrix The matrix reconstructs a high dynamic range image. The specific implementation process of the multi-exposure image de-artifact fusion method based on low-rank matrix restoration is as follows: figure 2 shown.

[0086] Each step is described in detail below:

[0087] 1) if image 3 Shown is a multi-exposu...

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Abstract

The invention discloses a multi-exposure image deghosting integration method based on low-rank matrix recovery. First of all, a multi-exposure image sequence is input in a normalization mode; then, radiation calibration is performed on a normalized image by use of a camera response function; then the multi-exposure image sequence is quantified so as to form a data matrix recovered from a low-rank matrix; the low-rank matrix is obtained by use of an improved low-rank matrix recovery algorithm; and an high dynamic range (HDR) image of a target is recovered from low-rank matrix data. According to the invention, by use of a latest research result of low-rank matrix recovery, the problem of effectively removing artifacts and fuzziness in the integrated HDR image can be solved.

Description

technical field [0001] The invention relates to a method for synthesizing a low dynamic range image into a high dynamic range image, specifically, it relates to a method for combining multi-exposure low dynamic range image sequences by using radiation calibration and low rank matrix restoration algorithm, and finally generating A method for high dynamic range images without artifacts. Background technique [0002] High dynamic range imaging is already starting to become a commercial product, such as a smartphone. In the same real scene, the limited dynamic range of most imaging sensors often cannot capture the brightness of the full dynamic range of the scene. However, a relatively simple and cheap way can solve this limitation, which is to capture several pairs of the same scene with different exposure times The images are then fused into a high dynamic range image that records the brightness of the scene, thus effectively extending the dynamic range of the image. However...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T5/50G06T7/80
CPCG06T5/003G06T5/009G06T5/50G06T2207/10016G06T2207/20208G06T2207/20221
Inventor 谭洪舟刘颜陈荣军李智文朱雄泳黄登邹兵兵嵇志辉谢舜道
Owner SYSU CMU SHUNDE INT JOINT RES INST
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