A Saliency-Based Hevc Multi-Description Image Coding Algorithm

Abstract

The invention discloses a saliency-based HEVC multi-description image coding algorithm, which includes the following steps: using a constant quantization step to perform HEVC intra-frame coding on the image; using saliency detection technology to use HEVC coding features to perform saliency detection, according to Check the results to adjust the redundancy between descriptions and perform the second HEVC intra-frame encoding; interleave the two encoded image slices to generate two corresponding descriptions, and the two descriptions are transmitted independently in the network; The receiving end performs decoding respectively according to different situations of receiving a single description or receiving two descriptions at the same time. The present invention uses multiple description technology to encode the image, so that the image required by the user can still be reconstructed when part of the description is lost, without requiring the retransmission of the lost data packet. It provides a robust image transmission scheme, and at the same time due to the description The redundancy between them is adjusted according to the salience, so that the user's visual experience is better under the same network conditions.

Description

technical field [0001] The invention relates to the field of image communication, in particular to a saliency-based HEVC multiple description image coding algorithm. Background technique [0002] With the development of smart phones and camera technology, a large number of high-resolution images appear on various websites such as social networks and news media. The demand for image communication is also increasing. High-resolution images bring challenges to high-quality image communication due to the sharp increase in bit rate. In image communication, image coding is one of the core technologies that determine system performance. In recent years, the ISO / IEC Motion Picture Experts Group and the ITU-T Video Coding Experts Group have jointly developed a new generation of High Performance Video Coding (HEVC) standard, in which the extended version of the HEVC standard can support the coding of still images. [0003] At present, existing HEVC image coding methods mainly focus...

AI Technical Summary

Problems solved by technology

However, there are still the following shortcomings: (1) The existing HEVC image coding scheme does not take into account the robustness of image transmission

In a best-effort network such as the Internet or an unreliable network such as a wireless ad-hoc network, the transmission of image signals may result in severe packet loss due to limited bandwidth and poor network link quality

While the image is compressed, this effect may further spread to the rest of the same image, causing severe image reconstruction quality degradation

(2) Using the existing HEVC image coding scheme, when the image data packet is seriously lost, the image data packet needs to be retransmitted

If data loss is due to network congestion, packet retransmissions can further exacerbate network congestion, resulting in more packet loss

(3) The existing HEVC coding schemes fail to fully consider the impact of each area of ​​the image on the user experience

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