Wide dynamic image synthesis method

Abstract

The invention discloses a wide dynamic image synthesis method. First, exposure selection is performed according to single frame images of a wide dynamic scene, and exposure images to be synthesized are obtained, the obtained exposure images to be synthesized are processed through region segmentation, motion vectors corresponding to all region blocks obtained after segmentation are calculated, and frame motion registration is performed with the motion vector with the highest frequency as the motion vector of frame motion registration; MTM classification is performed on irradiation images of the exposure images to be synthesized, motion images are obtained through difference between the irradiation images, and motion of objects in the exposure images to be synthesized is registered; finally, the registered exposure images to be synthesized are fused to obtain a final output wide dynamic image. Through the wide dynamic image synthesis method, the fuzzy frame situations such as smears, ghosts and double images caused by shakes of a camera and motion of the objects can be effectively eliminated, the calculation amount is moderate, and the synthesized image is good in effect.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a wide dynamic image synthesis method. Background technique [0002] Dynamic range refers to the difference in light intensity between the brightest area and the darkest area in a given scene. The dynamic range that can be represented by traditional digital images that are widely used at present is very limited, which makes the bright areas in the scene lost due to overexposure. The details are lost, and the dark areas are also lost due to underexposure. For those indoor scenes with a large contrast between light and dark, the traditional IP camera IPC is limited by the photosensitive characteristics of CCD or CMOS, and it is difficult to maintain the details of bright and dark areas, which seriously affects the image quality. Therefore, it is necessary to obtain a set of images with different exposures, and then perform multi-frame wide dynamic synthesis on...

AI Technical Summary

Problems solved by technology

[0005] (1) If the proportion of pixels near the median value of the exposure scene is large, the difference evaluation is quite unstable, and it is very easy to cause errors in the registration results;

[0006] (2) More importantly, this method is affected by moving objects. If there are moving objects in the picture, it is easy to lead to wrong judgment results.

However, the main problems of existing methods are: the artifact removal of moving objects is not thorough enough; the fusion of moving objects and static background is not good enough, and the splicing effect is obvious; the iterative process is used, and the amount of calculation is large, which is not suitable for real-time processing of video surveillance. need

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