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A hdr video generation method suitable for ldr video

A video and normalization technology, applied in the field of HDR video generation, can solve the problems of not widely applicable in the market, cumbersome video sources, redundant operations, etc., to achieve the effect of clear details, rich information, and low complexity

Active Publication Date: 2019-07-19
TIANJIN UNIV
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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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  • A hdr video generation method suitable for ldr video
  • A hdr video generation method suitable for ldr video
  • A hdr video generation method suitable for ldr video

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Embodiment Construction

[0032] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0033] Such as figure 1 As shown in the HDR video generation method, the specific steps of the process are as follows:

[0034] Step 1. Synthesize the first frame image of the LDR video into an HDR image: convert a normal exposure image into a pseudo-exposure image with different brightness, so that more information can be obtained, and the modeling is as follows:

[0035]

[0036] Among them, L wk Indicates the brightness of the kth pseudo-exposure HDR image at the coordinate (i, j) point, P k A control parameter representing the brightness difference between adjacent pseudo-exposures, L d (i, j) represents the normalized brightness control parameter of the input LDR image at the pixel (i, j) point, L max,k Indicates the maximum brightness value of the generated kth pseudo-exposure image. L s max The value is set to 382.5, L ad,k Represents the ave...

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Abstract

The invention discloses a method for generating HDR video suitable for LDR video, step (1), converting a normally exposed image into a pseudo-exposed image with different brightness, and obtaining the HDR of the first frame of the LDR image of the LDR video Image; step (2), input vector x and vector y, determine the quality of a fitting curve by the size of the mean square error, find a fitting curve with the minimum MSE; modify the generated fitting curve, thereby Find an optimal fitting curve as the curve fitting result between the LDR image and the HDR image; step (3), utilize the optimal fitting curve to perform corresponding pixel-level mapping on each frame of the input LDR video , to get the final HDR video sequence. Compared with the prior art, the present invention has low complexity and can realize real-time conversion of LDR video to HDR video; the color information of the generated HDR video is more in line with the visual characteristics of human eyes, the details are clearer, and the information contained is richer.

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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N5/235H04N5/243H04N23/76
CPCH04N23/741H04N23/76
Inventor 张淑芳刘孟娅
Owner TIANJIN UNIV
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