An enhanced performance for H.265/SHVC based on combined AEGBM3D filter and back-propagation neural network

09/20/2020
by   L. Balaji, et al.
0

This paper deals with the latest video coding standard H265 SHVC, a scalable extension to High Efficiency Video Coding (HEVC). HEVC introduces new coding tools compared to its predecessor and is backward compatible with all types of electronic gadgets. The gadgets with different display capabilities cannot be offered the same quality video due to the constraints in transmission bandwidth is a major problem. One solution to this problem will be the compression of the video sequence which is focused in this paper to preserve or increase PSNR while reducing bit-rate besides a novel method implemented in SHVC encoder. The novel method undergoes a combined AEGBM3D (adaptive edge guided block-matching and 3D) filtering and back-propagation technique. The technique includes an AEGBM3D filter which avoids spatial redundancy and de-noise frames; hence enhancement in PSNR is achieved. The obtained PSNR of the video is compared with the set threshold PSNR to maintain PSNR above the threshold by repeated AEGBM3D filtering. The BP technique based on the neural network machine learning approach continually restrains the output if the input block does not contain a feature they were trained to recognize. This frequent control over the output produces few bits; hence reduction in bit-rate is achieved. The simulation results show that the proposed technique delivers an average increment of 0.16 and 0.25dB in PSNR and an average decrement of 28 and 37 bit-rate for 1.5 and 2 times spatial ratios respectively, compared with the existing methods.

READ FULL TEXT

page 9

page 10

research
07/08/2022

FAIVConf: Face enhancement for AI-based Video Conference with Low Bit-rate

Recently, high-quality video conferencing with fewer transmission bits h...
research
05/22/2022

Recent Advances in Rate Control: From Optimization to Implementation and Beyond

Video coding is a video compression technique that compresses the origin...
research
02/16/2018

Coding Block-Level Perceptual Video Coding for 4:4:4 Data in HEVC

There is an increasing consumer demand for high bit-depth 4:4:4 HD video...
research
08/21/2017

Visually Lossless Coding in HEVC: A High Bit Depth and 4:4:4 Capable JND-Based Perceptual Quantisation Technique for HEVC

Due to the increasing prevalence of high bit depth and YCbCr 4:4:4 video...
research
04/08/2020

Variable Rate Video Compression using a Hybrid Recurrent Convolutional Learning Framework

In recent years, neural network-based image compression techniques have ...
research
11/07/2019

ViSTRA2: Video Coding using Spatial Resolution and Effective Bit Depth Adaptation

We present a new video compression framework (ViSTRA2) which exploits ad...
research
04/16/2021

Multitask Learning for VVC Quality Enhancement and Super-Resolution

The latest video coding standard, called versatile video coding (VVC), i...

Please sign up or login with your details

Forgot password? Click here to reset