Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Image transmission noise reduction method of network set top box

A network set-top box and image sensor technology, applied in the field of image transmission, can solve problems such as single noise intervention means, affecting user experience, image quality degradation, etc., to achieve the effect of ensuring image quality, improving convenience, and preventing user experience

Active Publication Date: 2022-02-15
深圳市艾科维达科技有限公司
View PDF13 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Aiming at the above-mentioned shortcomings existing in the prior art, the present invention provides an image transmission noise reduction method for a network set-top box, which can effectively solve the problem that the network set-top box in the prior art has relatively single intervention means for noise, and it is difficult to repeatedly correct disturbed images. , making the influence of noise too large, resulting in the degradation of image quality and affecting the user experience

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
  • Image transmission noise reduction method of network set top box
  • Image transmission noise reduction method of network set top box
  • Image transmission noise reduction method of network set top box

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0050] The image transmission noise reduction method of the network set-top box of the present embodiment, such as figure 1 and image 3 shown, including the following steps:

[0051] Step1: Detect salt and pepper noise on the image sensor of the set-top box, and verify it at the transmission channel and decoding processing end in turn;

[0052] Step2: Set the gray value of the pixels on the display side to the middle value of all the gray values ​​of the pixels in any domain window;

[0053] Step3: Carry out two rounds of verification to detect whether there are pixels with too high or too low gray value on the display end;

[0054] Step4: Detect the existence, mark the pixels that are still disturbed, and verify whether there is regularity;

[0055] Step5: The detection does not exist, continue to run according to the settings, and directly jump to Step9;

[0056] Step6: Carry out secondary corrections for the disturbed problem pixels;

[0057] Step7: Collect problemati...

Embodiment 2

[0072] At other levels, this embodiment also provides a process of generating a conclusion report, such as figure 2 shown, including the following steps:

[0073] S1: Record the disturbed pixels in one round of detection;

[0074] S2: Graphical display of regular pixel points in the area;

[0075] S3: Repeatedly verify the problem data received multiple times to confirm whether there are similar problems recurring;

[0076] S4: Record the verification result;

[0077] S5: mark the occurrence time and frequency of the problem;

[0078] S6: Submit the recorded data to the storage terminal.

[0079] Such as figure 2 As shown, the recording factors of the disturbed pixel in step S1 include: distribution area, appearance time, and gray scale deviation value.

[0080] Such as figure 2 As shown, the repeatability verification process of the problem data in the step S3 includes: adding the problem data into the storage terminal, comparing the attributes of the newly generate...

Embodiment 3

[0084] In this embodiment, in the process of image generation, transmission or transformation, due to the influence of various factors, the image quality is reduced, the image is blurred, and the features are submerged, which brings difficulties to analysis and identification. Therefore, the main content of image enhancement is to selectively highlight the features of interest in the image according to specific needs, attenuate unnecessary features, and improve the intelligibility of the image. Image enhancement does not consider the cause of image degradation, and the improved The image of is not necessarily close to the original image, which is the difference between it and the essence of image restoration. Image enhancement can improve the visual effect of the image, improve the clarity of the image, and convert the image into a form that is more suitable for human or machine analysis and processing, while obtaining more useful information from the image;

[0085] Image enh...

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 the field of image transmission, and discloses an image transmission noise reduction method of a network set top box, which comprises the following steps of: step 1, detecting salt and pepper noise of an image sensor of the set top box, and verifying in a transmission channel and a decoding processing end in sequence; step 2, setting the gray values of the pixel points at the display end as intermediate values of the gray values of all the pixel points in the window in any field; and step 3, carrying out two rounds of verification, and detecting whether a pixel point with an over-high or over-low gray value exists at the display end. According to the invention, the image interfered by the noise can be repeatedly corrected, the image damage influence caused by the noise is reduced, the situation that the image quality is reduced due to the fact that the noise influence is too large is avoided, the use experience of a user is prevented from being influenced, data with problems can be stored and recorded, and the fault tracing convenience is improved.

Description

technical field [0001] The invention relates to the technical field of image transmission, in particular to an image transmission noise reduction method for a network set-top box. Background technique [0002] Network set-top box referred to as STB technology is a crucial technical device in information appliances. The function of the set-top box has jumped from a multi-frequency tuner and decoder to a control terminal for a large number of online databases such as movies, multimedia events, and news. [0003] The network set-top box can indicate the status of the user's indoor equipment, CATV network and program resources; it can use the user's TV screen to display messages and menus sent by the service company and information provider, and transmit the user's choice information to the service center or information provider. Signal transmission, modulation and demodulation, can handle the ATM protocol, how to expand the function of the set-top box, improve the quality, redu...

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): H04N9/64H04N21/24H04N21/442
CPCH04N9/646H04N21/24H04N21/442
Inventor 姜云燕朱朋何仕全卢锦仁覃允炎付勇华
Owner 深圳市艾科维达科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
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