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

A video and normalization technology, applied in the field of HDR video generation, can solve the problems of limited market applicability, cumbersome video sources, and high price, and achieve the effect of clear details, rich information, and low complexity

Active Publication Date: 2017-03-15
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,

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  • HDR (High Dynamic Range) video generation method applicable to LDR (Low Dynamic Range) video
  • HDR (High Dynamic Range) video generation method applicable to LDR (Low Dynamic Range) video
  • HDR (High Dynamic Range) video generation method applicable to LDR (Low Dynamic Range) 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] HDR video generation method, the specific steps are as follows:

[0034] The first step is to 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 smax The value is set to 382.5, L ad,k Represents the average brightness control parameter of ...

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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...

Claims

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Application Information

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IPC IPC(8): H04N5/235H04N5/243
CPCH04N23/741H04N23/76
Inventor 张淑芳刘孟娅
Owner TIANJIN UNIV
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