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Self-adaptive depth image coding method based on compressed sensing

A deep image and compressed sensing technology, applied in image communication, digital video signal modification, electrical components, etc., can solve problems such as block effects, waste of sampling data, and impact on the overall quality of reconstructed images

Inactive Publication Date: 2014-02-12
北京交通大学长三角研究院
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Problems solved by technology

On the other hand, the sparseness of different image blocks in the depth image is different, and the importance of different image blocks in reconstruction is also different. If the traditional method is used to select the same sampling rate for all blocks in the entire image , not only will cause a waste of sampling data, but also have a certain impact on the overall quality of the reconstructed image, such as block effects, etc.

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  • Self-adaptive depth image coding method based on compressed sensing
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[0039] The present invention will be described in detail below in conjunction with the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, so as to define the protection scope of the present invention more clearly.

[0040] In order to verify the effectiveness of the depth image coding method of the present invention, a frame of images from different viewing angles in the kendo sequence (1024×768), balloons sequence (1024×768) and pantomime sequence (1280×960) is used in the experiment. Among them, the image texture features and detail information in the kendo sequence and balloons sequence are relatively rich, while the images in the pantomime sequence have obvious distinctions between foreground and background regions.

[0041] In the experiment process, the depth image of the camera in the sequence is first processed, and the edge of the depth image is extracted, and the sampling rate ...

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Abstract

The invention provides a self-adaptive depth image coding method based on compressed sensing. The method includes the following steps that firstly, dot interlaced sampling with the down-sampling rate of 0.5 is carried out on a depth image; then, the edges of the depth image after the down-sampling process are extracted through a canny edge detector, and sampling rates are selected self-adaptively for image blocks according to different types of edge information; finally, the depth image is reconstructed with a high probability according to sampling values, and a depth image of which the resolution ratio equals an original resolution ratio is acquired through up-sampling.

Description

technical field [0001] The invention relates to the technical field of digital video processing, in particular to an adaptive depth image coding method based on compressed sensing. Background technique [0002] With the development of multimedia technology, Three-Dimensional Video (3DV) has become a hot research direction in the field of image and video processing. Compared with traditional two-dimensional video, three-dimensional video enables users to freely choose the viewing point of view to obtain a more realistic stereoscopic visual experience. However, the original data of 3D video is huge, and the limitations of data storage space and transmission bandwidth become the bottleneck restricting its development. Therefore, simple and effective compression coding algorithms are crucial for the development of 3D video. [0003] A typical 3D video data format includes multi-viewpoint color video and one-to-one corresponding depth image sequence. The gray value of each pix...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/597H04N19/36
Inventor 白慧慧高静刘美琴林春雨赵耀
Owner 北京交通大学长三角研究院
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