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Block effect detection method, block noise filtering method and device

A detection method and block effect technology, applied in the field of image processing, can solve the problems of complex block effect detection method and fast operation speed

Active Publication Date: 2019-09-20
SUZHOU KEDA TECH +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] What the present invention aims to solve is the defect that the block effect detection method in the prior art is complex, has fast operation speed and can be applied to the block noise filtering method for real-time video image processing

Method used

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  • Block effect detection method, block noise filtering method and device
  • Block effect detection method, block noise filtering method and device

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Experimental program
Comparison scheme
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Embodiment 1

[0084] Because there may be various factors in the image that hinder people from accepting its information, that is, the existence of image noise; therefore, in most current digital image systems, before block noise filtering, image noise needs to be detected, which is often used The method of image noise detection is to first divide the original image, generally divide the image into blocks and rings; then perform blocking detection for image blocks of different shapes.

[0085] In this embodiment, the shape of the image block is selected from but not limited to block shape, and all the detection methods of the present invention can be applied to achieve the purpose of the present invention and belong to the protection scope of the present invention.

[0086] This embodiment provides a blocking effect detection method, which is used in a blocking effect detection device. In this embodiment, the horizontal direction is the first direction, and the vertical direction is the second d...

Embodiment 2

[0127] This embodiment provides a block noise filtering method, which is applied to a block noise filtering device. In this embodiment, the horizontal direction is the first direction, and the vertical direction is the second direction. However, the blocking effect detection method of the present invention is not limited to this. All applications of the method of the present invention to achieve the purpose of the present invention belong to the protection of the present invention. range. The flow chart of the method is as Image 6 As shown, including the following steps:

[0128] S21: Extract the current frame image of the video. It is the same as S11 in Embodiment 1, and will not be repeated.

[0129] S22: Blockiness detection. The method of Embodiment 1 of the present invention may be used, and for details, refer to the above description, which is not repeated here.

[0130] S23: Perform block noise filtering according to the blocking strength and the deblocking filtering stre...

Embodiment 3

[0189] This embodiment provides a blocking effect detection device, the structure block diagram is as follows Picture 10 Shown, including:

[0190] The image dividing unit 31 is configured to divide the original image into a first direction image block and a second direction image block along the first direction and the second direction, respectively.

[0191] The first acquiring unit 32 is configured to acquire a first candidate block with noise in the first direction image block and a second candidate block with noise in the second direction image block.

[0192] The first calculation unit 33 is configured to determine the first effective candidate block with blocking effect in the first candidate block, and calculate the first blocking effect intensity in the first direction according to the strength and number of the first effective candidate block.

[0193] The second calculation unit 34 is configured to determine the second effective candidate block with blocking effect in the s...

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Abstract

Embodiments of the invention provide a block effect detection method, a block noise filtering method and devices. The block effect detection method includes the steps of obtaining first candidate blocks having noise and second candidate blocks having noise from an original image; determining the presence of first valid candidate blocks having a block effect in the first candidate blocks, and calculating the first block effect strength; determining the presence of second valid candidate blocks having a block effect in the second candidate blocks and calculating the second block effect strength; calculating, according to the number of the first valid candidate blocks, the number of the second valid candidate blocks, the first block effect strength and the second block effect strength, the block effect strength of the image; and calculating the deblocking filter strength. The block effect detection method provides a universal mathematical formula which is irrelevant to characteristics of the video image itself and for calculating the block effect strength; and provides a clear mathematical relationship between the detected block effect strength and the block noise filter strength, and has a prospect of application to real-time video image processing.

Description

Technical field [0001] The invention relates to the technical field of image processing, in particular to a blocking effect detection method, a blocking noise filtering method and a device. Background technique [0002] Video image compression algorithms are generally implemented based on the idea of ​​block division. For example, several current international image and video compression standards: JPEG, MPEG, H264, HEVC, etc., all use block-based discrete cosine transform as the transform coding method However, this kind of algorithm can easily cause the processed image to produce obvious block-like patterns, especially when transmitting at low bit rates, such as network video. This phenomenon is called "blocking effect". This blocking effect is a kind of man-made noise caused by image coding, that is, "block noise", which will seriously affect the subjective visual quality of video images. Therefore, more and more experts and scholars are detecting and filtering blocking noise....

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/86
Inventor 姚佳丽杨冬梅章勇曹李军陈卫东
Owner SUZHOU KEDA TECH