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Motion-classification-based adaptive de-interlacing method

A motion classification and self-adaptive technology, applied in color TV parts, TV system parts, standard conversion and other directions, can solve problems such as picture jitter, aliasing, feathering, and image blurring.

Inactive Publication Date: 2012-02-29
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Interlaced scanning has some disadvantages: flicker, picture jitter, vertical edge jagged, etc.
[0005] These methods have their own shortcomings: spatial two-dimensional interpolation cannot increase the vertical resolution of the image, and the image is easy to blur; temporal two-dimensional interpolation will bring defects such as aliasing and feathering; motion compensation algorithms are extremely sensitive to motion estimation errors, error-prone

Method used

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  • Motion-classification-based adaptive de-interlacing method
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  • Motion-classification-based adaptive de-interlacing method

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Embodiment Construction

[0062] The present invention will be further described below in conjunction with accompanying drawing

[0063] Such as figure 1 Shown, the concrete implementation steps of the inventive method are:

[0064] Step (1). At one of the points C to be processed in one field of the input video image, judge whether the abscissa of the point C to be processed is divided by 2. The remainder is equal to the number of the field where the point C to be processed is divided by 2 Remainder, if the two remainders are equal, keep the gray value of the point C to be processed unchanged and perform step (10), if the two remainders are not equal, then perform step (2).

[0065] Step (2). Detect the data of the first 2 fields and the last 2 fields of the field where the point C to be processed is used as a reference, calculate the field correlation with the same polarity, and obtain the field where the point C to be processed is located and the point C to be processed The field correlation P of ...

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Abstract

The invention discloses a motion-classification-based adaptive de-interlacing method. Conventional interlaced scanning has the shortcomings of flickering, motion judder, vertical edge jagging and the like. In the method provided by the invention, a corresponding algorithm is adaptively selected for classification processing on the basis of performing accurate detection and granularity division on the motion state of a pixel to be interpolated, and a conventional de-interlacing algorithm is supplemented in terms of inter-field and intra-field de-interlacing by Wiener median filtering and triple median filtering. The method is more directed; and smooth transitions of de-interlacing strategies in adjacent motion states are realized, thereby achieving good de-interlacing effects.

Description

technical field [0001] The invention belongs to the technical field of video signal processing, in particular to an adaptive deinterlacing method based on motion classification. Background technique [0002] Interlaced scanning technology is to divide each frame of image into odd field and even field. The line scanning frequency of interlaced scanning is half of that of progressive scanning, and the frequency spectrum of video signal and the channel bandwidth of transmitting video signal are also half of that of progressive scanning. Due to the persistence of vision effect, the human eye will see smooth motion instead of flickering half-frame images, which effectively increases the utilization of the channel when the subjective image quality is not degraded much. Due to the early communication The technology is underdeveloped. In order to save the limited bandwidth, interlaced scanning technology is widely used in traditional analog signal TV. Interlaced scanning has some d...

Claims

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Application Information

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IPC IPC(8): H04N7/01H04N5/14
Inventor 丁勇史杨宇刘晓东王涵李博睿
Owner ZHEJIANG UNIV