High dynamic range imaging method for removing ghosts through moving object detection and extension

A high dynamic range, moving object technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as the influence of detection results, different input values, and the difficulty of accurately detecting moving areas

Inactive Publication Date: 2016-10-26
NANJING UNIV
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AI Technical Summary

Problems solved by technology

However, it is very difficult to accurately detect motion areas, and underexposed or overexposed parts of the image will affect the detection results
Also, even if motion areas are detected and marked, ghosting will still be present in the final image, a major problem is that if motion areas are excluded from exposure fusion, pixels on either side of the edge of the motion area will be composited There are different input values, which will cause the composite image to appear ghosting with the same shape as the motion area
Due to these factors, many existing algorithms cannot remove ghosting well

Method used

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  • High dynamic range imaging method for removing ghosts through moving object detection and extension
  • High dynamic range imaging method for removing ghosts through moving object detection and extension
  • High dynamic range imaging method for removing ghosts through moving object detection and extension

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Embodiment Construction

[0069] The present invention will be further described below in conjunction with the accompanying drawings.

[0070] A high dynamic range imaging method for removing ghost images through moving object detection and expansion. The important idea of ​​the invention is to expand the moving area under the constraint of the edge in the image to enhance the result of moving object detection. Attached to the manual figure 2 middle, figure 2 (a) The circle part in the left picture is marked as a motion area, and there is no motion area in the right picture. When two images are combined, the circle area in the left picture will not participate in the synthesis, and the rectangular area in the whole scene is a whole. From the naked eye From the point of view, the image changes in the rectangular area are very small, and the circular area on the left will make the difference in the synthesis operation between this area and the surrounding area, and the integrity of the rectangular are...

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Abstract

The invention provides a high dynamic range imaging method for removing ghosts through moving object detection and extension. The important thought of the method of the invention is to extend a moving area under edge constraints to enhance a moving area detection result. A Markov random field-based method is used for detecting the moving area, an image segmentation-based method is used for extending the moving area, the weight of each pixel is adjusted according to a mask image of the moving area after extended, the weight of each pixel is applied to final exposure fusion, and the problem of ghosts appearing in the high dynamic range imaging can be effectively solved.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to the field of High Dynamic Range Imaging (HDRI, High Dynamic Range Imaging), and relates to a high dynamic range imaging method for removing ghost images through moving object detection and expansion. Background technique [0002] The dynamic range of real scenes is wider than most sensors and display devices can support. In order to make the displayed images closer to reality, people have proposed High Dynamic Range Imaging (HDRI, High Dynamic Range Imaging) technology, which overcomes the limitations of sensors and display devices by synthesizing multiple images with different exposures. This synthesis technology is mainly divided into two types: one is to first generate a high dynamic range (HDR, High Dynamic Range) image, and then obtain a low dynamic range (LDR, Low-Dynamic Range) image through tone mapping (Tone Mapping) , and the other is to directly synthesize mu...

Claims

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Application Information

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IPC IPC(8): G06T7/20
CPCG06T2207/20201
Inventor 刘钦张本康王豪苏子权宋强王子杰
Owner NANJING UNIV
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