High dynamic range video recording method and device based on Bayer color filtering array

Abstract

The invention discloses a high dynamic range video recording method and a device based on Bayer color filtering array. The method comprises steps of performing exposure according to different odd-even double list configuration sensitizing time, obtaining an image frame of different odd-even double list exposure values, decomposing the image frame into an underexposure frame and an overexposure image frame, wherein the underexposure double lists and the deficiency double lists in the underexposure frame are arranged at interval in series and the overexposure double lists and the deficiency double lists are arranged at interval in series in the overexposure image, obtaining underexposure image frame according to the underexposure and the pixel value of the overexposure double-list pixel point and pixel recovery values missing the double list pixel points in the overexposure image frame as the pixel value of the corresponding pixel point on a red-green-blue channel, and merging the overexposure image frame and the underexposure frame according to the pixel value of the pixel point on the red-green-blue channel to obtain a high dynamic range frame according. Through the above steps, the invention can overcome the problem of high speed motion fuzziness and reduce the frame efficiency of high speed continuous shooting.

Description

technical field [0001] The present invention relates to the technical field of high dynamic range (high dynamic range, hereinafter referred to as HDR) video recording, in particular to a high dynamic range video recording method and device based on a Bayer color filter array. Background technique [0002] In digital cameras, when shooting in an environment with a large light ratio, ordinary cameras cannot record extremely bright or dark details due to the limitation of dynamic range, while HDR video recording can achieve better than normal shooting in both high-light and low-light areas. levels of light and shade. The dynamic range of the actual scene is often above 100dB, and the sensor is the core component of digital imaging equipment imaging. The sensor elements used in traditional digital cameras are CCD (Charge-coupled Device, charge-coupled device) or CMOS (Complementary Metal Oxide Semiconductor, Complementary Metal Oxide Semiconductor), which generally only have a ...

AI Technical Summary

Problems solved by technology

There are two disadvantages: on the one hand, if there is a high-speed moving object in the scene, point-to-point matching cannot be achieved between the two frames, and the merged picture is prone to motion blur

This simple distinction between overexposure and underexposure does not adapt well to the scene, it is prone to artifacts, and there will be unnatural transitions during pixel merging

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