Segmented exposure imaging highly-dynamic recovery method and system

Abstract

The invention provides a segmented exposure imaging highly-dynamic recovery method and system. The method comprises the following steps: acquiring brightness values V1i of pixels at a segment end exposure moment T1 of a first exposure segment and brightness values Vi of pixels at a segment end exposure moment T of a second exposure segment, wherein the first exposure segment is earlier than the second exposure segment; calculating a slope value K of a current light intensity corresponding to each pixel point; according to the slope values K and a total exposure time T of the two exposure segment, calculating a current pixel bright value Vxi=K*T of each pixel point; and determining an overexposure comparison range according to an average overexposure value of the first exposure segment, andcarrying out comparative judgment and processing on each pixel brightness value V1i, so that a recovered highly-dynamic image is obtained. The segmented exposure imaging highly-dynamic recovery method and system provided by the invention has the advantages that fixed biases introduced by segmented exposure are eliminated while the highly-dynamic image is recovered, and no additional corrections are needed.

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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