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Optimization method for sensing rate distortion

An optimization method and rate-distortion technology, which is applied in the field of image processing and can solve the problems of not being able to adapt to video sequences well and being unable to be dynamically adjusted.

Inactive Publication Date: 2015-10-21
XIDIAN UNIV
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Problems solved by technology

[0005] The Lagrangian multiplier (λ) obtained by the above method is not adaptive based on video content, that is to say, the value of the Lagrange multiplier (λ) is only determined by the quantization parameter (QP) and cannot be adjusted dynamically, so it cannot Adapts well to video sequences of varying content

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  • Optimization method for sensing rate distortion

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Embodiment 1

[0089] The present invention provides a perceptual rate-distortion optimization method, the perceptual rate-distortion optimization method, such as figure 1 shown, including:

[0090] 01. Extract the frame image of the original video, obtain the spatial threshold and temporal threshold of the frame image respectively, and determine the comprehensive threshold of the pixels in the frame image according to the spatial threshold and the temporal threshold.

[0091] 02. Acquire a distortion value of the frame image, determine a scaling factor of the frame image based on the distortion value, and determine an initial multiplier of the frame image according to the scaling factor.

[0092] 03. In the frame image, determine the integrated threshold value of the macroblock containing the preset number of pixels and the average integrated threshold value of the pixels in the frame image, and combine the integrated threshold value of the macroblock with the frame image The average compr...

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Abstract

The invention discloses an optimization method for sensing rate distortion, belonging to the image processing field. The optimization method comprises obtaining the integrated threshold of frame images in an original video; determining zoom factors in the frame images; and determining initial multipliers in the frame images in dependence on the zoom factors. In the frame images, the integrated threshold of a MacroBlock (MB) including a preset number of pixel points is determined, and the affiliation category of the MB is determined in combination with the integrated threshold of the frame images. In dependence on a distortion model and the affiliation category of the MB, quantization parameters of the MB in the frame images are obtained, and adjusting multipliers of the MB in the frame images are obtained in combination with the rate distortion theory; an optimal solution of a coding cost function is obtained in dependence on the adjusting multipliers and in combination with the distortion model. The method can determine a video coding mode corresponding with the optimal solution, provide convenience for realizing high quality video experience based on the video coding mode, and meanwhile guarantee that a video occupies a smaller storage space.

Description

technical field [0001] The invention belongs to the field of image processing, in particular to an optimization method for perceptual rate distortion. Background technique [0002] Today, with the rapid development of information technology and the Internet, multimedia information has become the most important carrier for human beings to obtain information, and video information occupies an important position in multimedia information. More than 70% of the information obtained by human beings comes from vision. Video coding is the focus and core of multimedia data compression. The essence of its compression is to represent the video / image information with as few bits as possible under the premise of ensuring a certain reconstruction quality (no image distortion or small distortion), so as to achieve maximum The purpose of greatly reducing the image data transmission rate, reducing the channel bandwidth, and reducing the data storage space. [0003] A large number of methods...

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Application Information

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IPC IPC(8): H04N19/147H04N19/19
Inventor 郑喆坤陈瑶薛飞崔玉金重圭尹仁龙权炳贤
Owner XIDIAN UNIV
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