Image recovery method and coding end

An image restoration and image reconstruction technology, applied in the field of video coding and decoding, can solve the problems of difficulty in ensuring image quality, inability to guarantee image quality, and large image code size, so as to reduce network packet loss, improve anti-packet loss capability, and improve image quality. The effect of quality and fluidity

Inactive Publication Date: 2020-03-10
ZTE CORP
View PDF4 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Under the source, channel, and sink image restoration mechanism, when the image still cannot be restored, the technique adopted is to apply for an airspace I frame. The so-called airspace I frame means that the previous image frame is not referred to when encoding and decoding, so as to avoid even if the previous image frame If the image frame is lost, it will not lead to the loss of the current image frame; however, the image codes of the airspace I frame are relatively large. In the harsh network environment with limited bandwidth, the larger the image code, it will naturally cause a vicious cycle of network transmission and accelerate The loss of image frames under limited bandwidth makes it impossible to guarantee ideal image quality
[0004] In related technologies, there is no reasonable image restoration mechanism, and it is difficult to guarantee ideal image quality

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 recovery method and coding end
  • Image recovery method and coding end
  • Image recovery method and coding end

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0027] figure 2 It is a schematic flowchart of the image restoration method provided by Embodiment 1 of the present invention. Such as figure 2 As shown, the image recovery method includes:

[0028] Step 201, when it is determined that image quality needs to be adjusted, obtain reference candidate frames according to inter-frame similarity and reconstructed image quality;

[0029] Step 202: Allocate bits for a target frame according to the reference candidate frame, and perform video encoding on the target frame based on the bits allocated for the target frame.

[0030] Wherein, the determination needs to adjust the image quality, including:

[0031] Determining the similarity measure between frames and reconstructed image quality;

[0032] According to the determined inter-frame similarity measure, inter-frame similarity measure threshold, reconstructed image quality, reconstructed image quality threshold, and decoding feedback information, it is determined that the ima...

Embodiment 2

[0049] image 3 It is a schematic flowchart of the image restoration method provided by Embodiment 2 of the present invention. Such as image 3 As shown, the image recovery method includes:

[0050] Step 301, determine the similarity between frames;

[0051] Wherein, determining the inter-frame similarity is specifically determining an inter-frame similarity measure. When determining the inter-frame similarity measure, you can choose motion vector or pixel-based motion complexity to determine the inter-frame similarity measure; the inter-frame similarity measure threshold can be set as needed, and the inter-frame similarity measure threshold is used to set The level of similarity between frames;

[0052] Step 302, determining the quality of the reconstructed image;

[0053] Among them, when determining the quality of the reconstructed image, the peak signal-to-noise ratio (PeakSignal to Noise Ratio, PSNR) or quantization parameter (Quantization Parameter, QP) of the recon...

Embodiment 3

[0072] Figure 4 It is a schematic structural diagram of a video codec system provided in Embodiment 3 of the present invention, Figure 5 It is a schematic flowchart of the image restoration method provided by the third embodiment of the present invention.

[0073] Such as Figure 4 As shown, the video codec system includes an encoding end and a decoding end, and the encoding end includes a video encoding device 401 , an image restoration device 402 , and an image detection device 403 . The decoding end includes an image feedback device 405 and a video decoding device 404 .

[0074] Wherein, the image restoration device 402 at the encoding end is used to adaptively adjust the image target bit to ensure the image quality; the image detection device 403 at the encoding end is used to calculate the inter-frame similarity, reconstruct the image quality, and receive the decoding feedback information fed back by the decoding end, Determine whether to execute the following coding...

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 embodiment of the invention discloses an image recovery method and device, and the method comprises the steps: obtaining a reference candidate frame according to the inter-frame similarity and thequality of a reconstructed image when determining that the image quality needs to be adjusted; and allocating bits to a target frame according to the reference candidate frame, and performing video coding on the target frame based on the bits allocated to the target frame. Therefore, the reference candidate frame is adaptively adjusted through the inter-frame similarity and the reconstructed image quality, so that the bit allocation of the target frame is adjusted, the network packet loss of the image frame is reduced, the packet loss resistance of the image is effectively improved, and the better image quality and fluency are obtained while the image is quickly recovered at the decoding end.

Description

technical field [0001] Embodiments of the present invention relate to but are not limited to video encoding and decoding technologies, and more specifically relate to an image restoration method and an encoding end. Background technique [0002] Image restoration is the key technology of real-time video codec. In the transmission process under the constraint of limited bandwidth, because the transmission status of the network is dynamically changing, bandwidth overflow is easy to occur, resulting in data loss. [0003] figure 1 It is a schematic structural diagram of a video codec system in the related art. Such as figure 1 As shown, the video codec system includes an encoding end and a decoding end, the encoding end includes a video encoding device, and the decoding end includes a video decoding device. The video encoding device is used to encode the input video data, the encoded video sequence is transmitted to the decoding end through the video transmission channel, a...

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): H04L29/06H04N19/137H04N19/184
CPCH04L65/80H04N19/137H04N19/184H04L65/75
Inventor 朱存望
Owner ZTE CORP
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
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap