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Minimum bracketing exposure set acquisition method based on optimal exposure

An acquisition method and exposure bracketing technology, which is applied to components of color TVs, components of TV systems, TVs, etc., can solve problems such as poor imaging quality of high dynamic range images, shorten image capture time, reduce storage requirements, The effect of reducing computational complexity

Active Publication Date: 2017-11-21
XIAN UNIV OF POSTS & TELECOMM +1
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  • Description
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AI Technical Summary

Problems solved by technology

[0004] In order to overcome the shortcomings of the poor imaging quality of high dynamic range images synthesized by existing minimum bracketing exposure acquisition methods, the present invention provides a minimum bracketing exposure set acquisition method based on optimal exposure

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  • Minimum bracketing exposure set acquisition method based on optimal exposure
  • Minimum bracketing exposure set acquisition method based on optimal exposure
  • Minimum bracketing exposure set acquisition method based on optimal exposure

Examples

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no. 1 example

[0026] The first implementation example: acquisition of the minimum bracketing exposure set based on the optimal exposure.

[0027] refer to figure 1 .

[0028] Step 1: Calculate the camera response function.

[0029] Select a typical static scene that is enough to cover the dynamic range that the camera can capture, set the camera to full manual mode, set the camera's aperture value and sensitivity to the fixed values ​​required for the experiment, and keep other parameters constant except for the exposure time , traverse all the shutter gears of the camera to shoot a group of bracketed exposure images, and obtain the standard exposure sequence of the camera. For the camera standard exposure sequence, use Debevec&Malik (Recovering high dynamic range radiance maps from photographs[C] / / Conference on Computer Graphics and Interactive Techniques.ACM Press / Addison-Wesley Publishing Co.1997:369-378) algorithm to fit the camera response letter

[0030] The Debevec&Malik method d...

no. 2 example

[0078] The second implementation example: multi-exposure image fusion.

[0079] Multi-exposure image fusion is to fuse images with different exposures of the same scene into a detailed image. Multi-exposure image fusion is then implemented on the basis of the minimum exposure image set based on the optimal exposure of the target scene in the first embodiment.

[0080] Based on the concept of image information entropy, it is first necessary to calculate image information entropy, which is a measure of how much detail information is contained in an image. For grayscale images, the information entropy E g defined as:

[0081]

[0082] Among them, q Z Indicates the frequency of pixel value Z appearing in the entire image, q Z =n Z / n,n Z is the number of times the pixel value Z appears in the entire image, and n is the number of pixel values ​​contained in the entire image. For color images, the information entropy E c defined as:

[0083]

[0084] in, Indicates t...

no. 3 example

[0094] The third implementation example: high dynamic range image synthesis based on the minimum bracketing exposure set of optimal exposure.

[0095] In the first implementation case, the minimum bracketing exposure set based on the optimal exposure is obtained, and then the third implementation case, generation of high dynamic range radiance map and tone mapping processing are performed.

[0096] refer to image 3 .

[0097] (1) Generation of high dynamic range radiance map.

[0098] According to the solution method of the optimal exposure-based minimum bracketing exposure set proposed in the first embodiment of the present invention, the optimal exposure-based minimum bracketing exposure set covering the dynamic range of the target scene is obtained, according to the irradiance value of the multi-exposure image and the corresponding pixel Correspondence between values ​​to generate a high dynamic range radiance map based on optimal exposure.

[0099] Since the same spati...

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Abstract

The invention discloses a minimum bracketing exposure set acquisition method based on optimal exposure. A technical problem that a high-dynamic range image synthesized by using the existing minimum bracketing exposure acquisition method is bad in imaging quality is solved. The technical scheme is follows: orderly acquiring irradiance ranges under different exposures by adopting a Debevec&Malik camera response function acquisition method, establishing a relevant exposure corresponding relation between the target scene optimal exposure and the camera captive exposure, and traversing the camera standard exposure sequences to obtain the minimum bracketing exposure image set corresponding to the target scene in the camera standard exposure sequence; computing the minimum bracketing exposure image set based on the target scene optimal exposure according to the exposure step difference by the optimal exposure time of the target scene, wherein the obtained exposure set comprises the optimal exposure containing most available information of the target scene. The image quality is guaranteed, and the redundancy time in the exposure time and the total consumed time for capturing image set are effectively reduced.

Description

technical field [0001] The present invention relates to a minimum bracketing exposure acquisition method, in particular to a minimum bracketing exposure set acquisition method based on optimal exposure. Background technique [0002] The natural world often has a very wide dynamic range, and the imaging devices currently on the market have a limited dynamic range of images captured through a single exposure, and cannot record and restore detailed information in real scenes well. Therefore, in order to restore the detailed information of the real scene more realistically, multi-exposure technology emerged as a common solution. The multi-exposure technology usually traverses all the exposure settings of the camera at a fixed step to obtain a set of images with different exposures. This method has a lot of redundant information in the acquired image set, takes a long time to capture the image set, and takes up a large storage space, etc. insufficient. [0003] The document "Mi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/217H04N5/235H04N5/243H04N23/76
CPCH04N23/81H04N23/743H04N23/76
Inventor 白本督赵金波肖照李映范九伦
Owner XIAN UNIV OF POSTS & TELECOMM
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