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Depth image optimizing method based on natural scene statistics

A depth map optimization and natural scene technology, applied in the field of image processing, can solve the problems of restricting the application of planar video to stereoscopic video, heavy workload, high cost, etc., and achieve the effect of improving viewing experience, quality and accuracy

Inactive Publication Date: 2013-11-13
NANJING UNIV +2
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Problems solved by technology

[0003]The method used in the film industry to convert flat video to stereoscopic video is basically to manually assign a corresponding depth map to each frame. This method is very time-consuming and labor-intensive. The quantity is large, and the cost is relatively high, these shortcomings limit the application of the planar video to stereoscopic video method

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  • Depth image optimizing method based on natural scene statistics

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[0027] In describing the present invention, it should be understood that the terms "center", "longitudinal", "transverse", "upper", "lower", "front", "rear", "left", "right", " The orientations or positional relationships indicated by "vertical", "horizontal", "top", "bottom", "inner" and "outer" are based on the orientations or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and Simplified descriptions, rather than indicating or implying that the device or element referred to must have a particular orientation, be constructed and operate in a particular orientation, and thus should not be construed as limiting the invention. In addition, the terms "first" and "second" are used for descriptive purposes only, and should not be understood as indicating or implying relative importance.

[0028] In the description of the present invention, it should be noted that unless otherwise specified and limited, the terms ...

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Abstract

The invention provides a depth image optimizing method based on natural scene statistics. The method includes providing a flat image and an initial depth image of the flat image, extracting brightness information of the flat image, conducting domain transformation filtering on the brightness information, conducting wavelet decomposition on the filtered brightness information and the initial depth image, building a Gaussian model for a brightness wavelet pyramid, estimating a shape parameter and an extension parameter, building an energy function of a depth wavelet pyramid, the shape parameter and the extension parameter, minimizing the energy function to obtain the optimized depth wavelet pyramid, and conducting wavelet synthesis on the optimized depth wavelet pyramid to obtain the optimized depth image. By means of the optimizing method, the depth image can be optimized quickly, and depth information accuracy of the depth image is improved, so that the stereo video quality can be improved after the depth image is converted into stereo video, and user viewing experience is improved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a depth map optimization method based on natural scene statistics. Background technique [0002] In recent years, stereoscopic display terminals and stereoscopic video have become new hotspots in the film and television industry and the field of science and technology, and have attracted great attention from domestic and foreign scientific and technological workers. A key issue hindering the adoption of stereoscopic display devices is the lack of stereoscopic video. There are two ways to solve the problem of lack of stereoscopic video sources. The first approach is to shoot video directly with stereo cameras. This method requires a set of professional stereoscopic video shooting equipment and a complete production line, which is expensive. In addition, the stereo camera has strict requirements on calibration, and has certain restrictions on the shooting environment an...

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Application Information

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IPC IPC(8): H04N13/00G06T7/00
Inventor 曹汛黄炜程吕科戴琼海
Owner NANJING UNIV
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