Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for selecting bandwidth compression prediction mode

A prediction mode and bandwidth compression technology, applied in the field of compression, can solve problems such as small prediction residuals, failure to guarantee reference pixels, and reduce theoretical limit entropy, etc., to achieve the effect of saving bits, increasing bandwidth compression rate, and reducing theoretical limit entropy

Inactive Publication Date: 2020-05-05
XIAN CREATION KEJI CO LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The complex texture in the image is divided into artificial texture and natural texture. The prediction of artificial texture in the existing technology cannot guarantee to find the most suitable reference pixel and get the smallest prediction residual to reduce the theoretical limit entropy.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for selecting bandwidth compression prediction mode
  • Method for selecting bandwidth compression prediction mode
  • Method for selecting bandwidth compression prediction mode

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0066] See figure 1 , figure 1 A schematic flowchart of a method for selecting a bandwidth compression prediction mode provided by an embodiment of the present invention;

[0067] A method for selecting a bandwidth compression prediction mode, comprising the steps of:

[0068] S1. Select a macroblock in the image;

[0069] S2. Calculate the first prediction residual of the macroblock by using the first prediction mode;

[0070] S3. Calculate a second prediction residual of the macroblock by using a second prediction mode;

[0071] S4. Calculate a first residual subjective sum according to the first prediction residual, and calculate a second residual subjective sum according to the second prediction residual.

[0072] S5. Select a minimum value among the first residual subjective sum and the second residual subjective sum, and use a prediction mode corresponding to the minimum value to perform bandwidth compression.

[0073] In the embodiment of the present invention, two...

Embodiment 2

[0075] Based on the first embodiment, the first prediction mode is described in detail. The forecasting method includes the following steps:

[0076] S201. Select the current pixel component of the current pixel; the specific steps are as follows:

[0077] The current pixel component may be a pixel component of an image in any format, for example, it may be a type of YUV component, or a type of RGB component, or a type of Lab component. According to the actual scene and requirements, select one of them as the current pixel component of the current pixel.

[0078] S202. Determine N texture directions of the current pixel component, and calculate N gradient values; please refer to figure 2 , figure 2 It is a schematic diagram of the reference direction of the first prediction mode in the embodiment of the present invention, and the specific steps are as follows:

[0079] The current pixel includes multiple current pixel components, and the surrounding components of each cu...

Embodiment 3

[0098] On the basis of the first embodiment, the second prediction mode is described in detail. The forecasting method includes the following steps:

[0099] S301. Determine a predictive search window, where the predictive search window includes the current pixel and K-1 reconstructed pixels;

[0100] see Figure 5 , Figure 5 It is a schematic diagram of the pixel index of the second prediction mode prediction search window provided by the embodiment of the present invention. In the video image pixel area, use C ij Represents the current encoded pixel, P ij Represents encoded reconstructed pixels. where ij is the position index of the current encoded pixel or reconstructed pixel. A sliding window is set as the predictive search window, and the shape of the predictive search window can be horizontal bar, vertical bar, L-shaped, cross-shaped, T-shaped, rectangular, etc. The size of the prediction search window is determined according to the texture characteristics of the...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a method for selecting a bandwidth compression prediction mode. The method comprises the following steps of: selecting a macro block in an image; calculating a first prediction residual error of the macro block by adopting a first prediction mode; calculating a second prediction residual error of the macro block by adopting a second prediction mode; calculating a first residual subjective sum according to the first prediction residual error, and calculating a second residual subjective sum according to the second prediction residual error; and selecting the minimum value in the subjective sum of the first residual error and the subjective sum of the second residual error, and performing bandwidth compression by adopting a prediction mode corresponding to the minimum value. According to the embodiment of the invention, the most suitable prediction mode is selected from multiple prediction modes by adopting a selector, so that the most suitable reference pixel can be found, the minimum prediction residual error is obtained, and the theoretical limit entropy is reduced.

Description

technical field [0001] The invention belongs to the technical field of compression, and in particular relates to a method for selecting a bandwidth compression prediction mode. Background technique [0002] With the gradual increase of people's demand for video quality, video image resolution, as one of the important characteristics of video quality, has transitioned from 720p and 1080p to the current mainstream 4K video resolution in the market, and the corresponding video compression standard has also changed from H. 264 to H.265. For video processing chips, the multiple increase in resolution will not only cause a substantial increase in chip area cost, but also have a great impact on bus bandwidth and power consumption. [0003] In order to overcome this problem, the bandwidth compression technology applied in the chip is proposed. Different from port type compression (such as H.265), the goal of on-chip bandwidth compression is to increase the compression factor as mu...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/103H04N19/176
CPCH04N19/103H04N19/176
Inventor 田林海李雯岳庆东
Owner XIAN CREATION KEJI CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com