HDR (High Dynamic Range) video generation method applicable to LDR (Low Dynamic Range) video

Abstract

The invention discloses an HDR (High Dynamic Range) video generation method applicable to an LDR (Low Dynamic Range) video. The HDR video generation method comprises the following steps of: (1), converting a normal exposure image into a pseudo-exposure image having different brightness, and obtaining an HDR image of a first-frame LDR image for the LDR video; (2), inputting a vector x and a vector y, determining advantages and disadvantages of a fitted curve by judging the size of a mean-square error so as to find out a fitted curve having the minimum MSE, and correcting the generated fitted curve so as to find out an optimal fitted curve used as a curve fitting result between the LDR image and the HDR image; and (3), performing corresponding pixel-level mapping of each frame of the input LDR video by utilizing the optimal fitted curve so as to obtain the final HDR video sequence. Compared with the prior art, the complexity of the HDR video generation method disclosed by the invention is low; real-time conversion from the LDR video to the HDR video can be realized better; colour information of the generated HDR video relatively accords with human eye visual features; details are relatively clear; and included information are relatively enriched.

Description

technical field [0001] The invention relates to the field of video monitoring, in particular to a method for generating HDR video. Background technique [0002] Compared with low dynamic range (LDR) video, High Dynamic Range (HDR) video can more accurately record most of the color and light information of real scenes, and can show rich colors Details and levels of light and shade, and can provide higher contrast, richer information and more realistic visual experience, which can better match the cognitive characteristics of human eyes to real world scenes. Because of this, HDR technology can be applied to fields that require high image quality, such as medical imaging, video surveillance, satellite remote sensing, and computer vision. [0003] At present, the methods of generating HDR video are mainly divided into two categories: one is the hardware method, which uses a dedicated HDR camera equipped with an improved sensor to directly generate HDR with one exposure. This sp...

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Problems solved by technology

[0003] At present, the methods of generating HDR video are mainly divided into two categories: one is the hardware method, which uses a dedicated HDR camera equipped with an improved sensor to directly generate HDR with one exposure. This special HDR camera system requires special customized hardware. Not only expensive but also not widely available in the market

The other is a software method, including: (1) using a common camera to shoot low dynamic range (Low Dynamic Range, referred to as LDR) video with alternate circular exposures, and then using images of multiple LDR adjacent frames to generate images of HDR corresponding frames image, this method is cumbersome to obtain the video source; (2) each frame uses the method of generating an HDR image from a single image to generate an HDR video; this method is relatively simple to obtain the video source, but the same method is used for each frame Generate HDR, resulting in redundant operations

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