Segmented Exposure Imaging High Dynamic Restoration Method and System

Abstract

The present invention proposes a segmented exposure imaging high dynamic recovery method and system, the method comprising the following steps: obtaining the brightness value V1i of each pixel at the segment end exposure time T1 of the first exposure segment and the segment end exposure time T of the second exposure segment Each pixel brightness value Vi, the first exposure segment is prior to the second exposure segment; calculate the slope value K of the current light intensity corresponding to each pixel point; according to each slope value K and the total exposure time T of the two exposure segments , calculate the current pixel luminance value Vxi=K*T of each pixel point; determine an overexposure comparison range according to the average overexposure value of the first exposure segment, compare and judge each pixel luminance value V1i and process it, so as to obtain the recovered height dynamic image. The high dynamic restoration method and system for segmented exposure imaging of the present invention can restore the high dynamic image while eliminating the fixed deviation introduced by the segmented exposure without additional correction.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a high dynamic recovery method and system for segmented exposure imaging. Background technique [0002] The exposure method of ordinary image sensors is single-segment exposure, and the dynamic range is relatively small. At present, there is a type of image sensor that uses a segmented exposure method to respond to light in two or more segments, which can improve the dynamic range. see figure 1 , taking two exposures as an example, within the range of the total exposure time T', it is divided into two integration times of 0-T1' and T1'-T', and in the first exposure period 0-T1', the saturated The value is limited to V1' (defined by the manufacturing process), and the exposure is continued in the second exposure time period T1'-T'. For low light, during the period of 0-T1', the exposure value does not reach the saturation value V1', so it is always exposed duri...

AI Technical Summary

Problems solved by technology

[0003] This segmented exposure method limits the high dynamic range due to the flat exposure value in the middle; due to technological reasons, the saturation value V1' of each pixel is not completely consistent, and there will be deviations, resulting in the same light intensity. Next, after passing through the saturation value V1' of each pixel, the output value has a fixed deviation

In addition, the image collected in this way, due to the high dynamic compression in a linear way, makes the dynamic range of the final output image limited

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