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Edge detection and frame difference method-based high-dynamic range video de-ghosting method

A high dynamic range, edge detection technology, used in image data processing, instruments, calculations, etc., can solve the problems of inaccurate results, failures, etc., achieve good accuracy, smooth changes in weight values, and reduce calculations. The effect of complexity

Active Publication Date: 2016-09-07
NANJING UNIV
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Problems solved by technology

[0005] Traditional high dynamic range compositing techniques need to establish the relationship between adjacent frames under different exposures, which usually does not yield accurate results and may fail in some special cases

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Embodiment Construction

[0031] The main technologies used in the present invention are: Canny edge detection operator, exposure fusion, and the implementation of each technology used in the present invention will be described in detail below. The problem solved is: provide a kind of method based on the high dynamic range video ghosting of edge detection and frame difference method (attachment figure 1 ), including the following steps:

[0032] 1) Ghost detection: that is, the detection of moving areas; since the contour edges of objects in the same exposure image are similar, the image can be mapped into a binary image by using the edge detection method. This method is inspired by Greg Ward's MTB[2] method, which is based on the fact that the median values ​​of different exposures in the same scene are indistinguishable (attached figure 2 ). But his method will fail in some cases, such as the image contains some extreme pixels, the brightness is either too high or too low (attached image 3 left)...

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Abstract

The invention relates to an edge detection and frame difference method-based high-dynamic range video de-ghosting method. Image registration-based edge detection is performed on interlaced images with the same exposure rate; after image registration, higher accuracy can be obtained through using a motion detection method; computational complexity is reduced based on a motion detection-based frame difference method; adjustment is carried out at some extreme boundary positions through using a weight map, so that bad special values can be eliminated; and when a traditional fusion exposure method is adopted, the weights of some boundary positions may be 0, and the weights of positions adjacent to the boundary positions are not 0, and this difference may make a final high-dynamic range video be low in accuracy at some positions, while, according to the method of the invention, offset is added, so that weight values will be more smooth.

Description

technical field [0001] The invention belongs to the field of computer images, and in particular relates to a method for removing ghost images of high dynamic range video based on edge detection and frame difference method. Background technique [0002] High dynamic range is an effective way to display realistic scenes. Compared with traditional photo shooting, high dynamic range can effectively avoid the problem of overexposure or underexposure, making the image more natural and vivid, and closer to the scene captured by the human eye. While HDR is widely accepted, HDR video remains a challenge for most camera devices due to limitations in device storage and generation methods. [0003] Researchers have done a lot of work in this area. Some researchers have taken a hardware approach to the problem, which takes multiple exposures in the same amount of time and composites each high dynamic range frame without adding any steps. However, this method is too dependent on the pe...

Claims

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Application Information

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IPC IPC(8): G06T5/50G06T7/00G06T7/20
CPCG06T5/50G06T7/20G06T2207/10016
Inventor 刘钦王豪宋强王子杰苏子权
Owner NANJING UNIV
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