High dynamic range video imaging system and image generating method

Abstract

The invention relates to a high dynamic range video imaging system and an image generating method. The system comprises an optical lens, an image processing unit, at least an optical splitter and a plurality of sensitive chips. The optical splitter splits the incident light penetrating through the optical lens into a plurality of beams which enter the plurality of sensitive chips so as to obtain image data with different exposures. The image processing unit fuses the image data to generate high dynamic range images. Each sensitive chip used by the high dynamic range video imaging system fused by the plurality of sensitive chips has same specifications so that synchronization and instantaneity of photographing can be ensured. Meanwhile, the generated video image has obvious advantage in color and luminance uniformities and affluent visual information compared with single exposed image, can effectively solve the problems of underexposure, overexposure and color and luminance non-uniformities in traditional image pickup systems and has great market applicable foreground.

Description

【Technical Field】 [0001] The invention relates to the field of computer vision and image processing, in particular to a high dynamic range video imaging system and an image generation method. 【Background technique】 [0002] The traditional high dynamic image generation method usually uses the same photosensitive chip to obtain different exposure photos by setting different exposure times, and then merge to generate images with high dynamic range. Its essence determines that it can only be used for still photography, but cannot be processed. Dynamic scenes and objects. [0003] With the development of image sensing technology, video shooting has also entered the high-definition era, but only the increase in the resolution of video capture equipment has been difficult to meet people's viewing needs. In the field of image and video processing, more attention is paid to how to obtain the high dynamic range and color fidelity similar to that of the human visual system. However, due to ...

AI Technical Summary

Problems solved by technology

[0004] The traditional scheme of single dynamic range enhanced image generated based on images with different exposure times can only shoot for a single static scene, and has high requirements on the lighting and environment of the scene. This type of equipment cannot perform dynamic real-time shooting of continuous scenes.

[0005] The traditional high-dynamic video method based on single-frame image processing uses image processing methods to analyze the brightness and color of independent frames of the video, thereby improving its contrast, brightness, saturation and other observation indicators. Although the visual effect has improved, but It cannot handle information loss caused by highlights, overexposure, shadows, etc. in the previous shooting

[0006] Traditional high dynamic range video shooting based on different exposure time is similar to the principle described in the scheme of single dynamic range enhanced image generated based on different exposure time images, but for high dynamic range video image shooting of dynamic scenes, its main The problem is that due to the time difference caused by the use of multiple exposure times, it causes smearing and blurring, and it is easy to cause serious problems such as loss of shooting targets for high-speed motion and changing scenes. The method is still difficult to achieve high-speed and effective processing

Images