An efficient edge detection algorithm for fast intra-coding for 3D video extension of HEVC

Hamout, Hamza; Elyousfi, Abderrahmane

doi:10.1007/s11554-017-0718-z

Cited by 14 publications

(5 citation statements)

References 17 publications

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“…In the method proposed by Chen et al [23], some hologram components are predicted that can accelerate the HEVC codec with minimal output quality loss. Hamout and Elyousfi in [24] used an edge-finding algorithm in the 3D images to identify regions of interest in the hologram and increase the speed of the standard HEVC algorithm. The method has also led to a decrease in hologram quality in comparison to the standard codec.…”

Section: Other Methodsmentioning

confidence: 99%

A novel high-efficiency holography image compression method, based on HEVC, Wavelet, and nearest-neighbor interpolation

Hajihashemi

Najafabadi

Gharahbagh

et al. 2021

Multimed Tools Appl

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One of the critical challenges facing 3D video systems and images such as holography lies in their compression technique. High-efficiency video coding (HEVC) has emerged as one of the leading schemes to address this challenge. In this article, a novel method based on wavelet transform is presented to improve HEVC, particularly in digital holography systems (object plane). In this regard, wavelet and resizing are included in the coding process, while extra HEVC decoders and encoders are added to predict and decrease errors in the target. Simulation results reveals that the proposed algorithm reduces Bjøntegaard-Delta (BD) bitrate 17.5% (based on average BD-Rate values) compared to the original HEVC (H.265) scheme while maintaining signal fidelity and even enhancing it slightly. We observe an increased BDpeak-signal-to-noise ratio (BD-PSNR) in real and imaginary parts of digital holograms of high rate quantization values up to 1.1 dB.

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Section: Other Methodsmentioning

confidence: 99%

A novel high-efficiency holography image compression method, based on HEVC, Wavelet, and nearest-neighbor interpolation

Hajihashemi

Najafabadi

Gharahbagh

et al. 2021

Multimed Tools Appl

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“…After that, an early termination of the CU partitioning algorithm for smoothing blocks was proposed aiming to eliminate superfluous CUs. Hamout et al [20] proposed a method to extract the edge information of each PU pixel by performing texture and depth maps using a local structure tensor and then building a histogram of the edge directions and opting for the orientation characterized by the highest histogram value as the optimal intra prediction pattern.…”

Section: Fast Algorithm Based On Heuristicmentioning

confidence: 99%

Efficient CU Decision Algorithm for VVC 3D Video Depth Map Using GLCM and Extra Trees

Wang,

Zhang

2023

Electronics

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The new generation of 3D video is an international frontier research hotspot. However, the large amount of data and high complexity are core problems to be solved urgently in 3D video coding. The latest generation of video coding standard versatile video coding (VVC) adopts the quad-tree with nested multi-type tree (QTMT) partition structure, and the coding efficiency is much higher than other coding standards. However, the current research work undertaken for VVC is less for 3D video. In light of this context, we propose a fast coding unit (CU) decision algorithm based on the gray level co-occurrence matrix (GLCM) and Extra trees for the characteristics of the depth map in 3D video. In the first stage, we introduce an edge detection algorithm using GLCM to classify the CU in the depth map into smooth and complex edge blocks based on the extracted features. Subsequently, the extracted features from the CUs, classified as complex edge blocks in the first stage, are fed into the constructed Extra trees model to make a fast decision on the partition type of that CU and avoid calculating unnecessary rate-distortion cost. Experimental results show that the overall algorithm can effectively reduce the coding time by 36.27–51.98%, while the Bjøntegaard delta bit rate (BDBR) is only increased by 0.24% on average which is negligible, all reflecting the superior performance of our method. Moreover, our algorithm can effectively ensure video quality while saving much encoding time compared with other algorithms.

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“…From audio to images to video, multimedia technology has brought people increasingly strong sensory experiences. Traditional 2D videos can only give people a flat feeling, so in order to present more realistic effects, 3D videos are gradually entering our lives [1][2][3]. Compared with traditional single view videos, the data volume of multi view videos increases exponentially.…”

Section: Introductionmentioning

confidence: 99%

A fast 3D-HEVC video encoding algorithm based on Bayesian decision

Wang

2023

International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023)

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An efficient edge detection algorithm for fast intra-coding for 3D video extension of HEVC

Cited by 14 publications

References 17 publications

A novel high-efficiency holography image compression method, based on HEVC, Wavelet, and nearest-neighbor interpolation

A novel high-efficiency holography image compression method, based on HEVC, Wavelet, and nearest-neighbor interpolation

Efficient CU Decision Algorithm for VVC 3D Video Depth Map Using GLCM and Extra Trees

A fast 3D-HEVC video encoding algorithm based on Bayesian decision

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