Improving compression efficiency of HEVC using perceptual coding

Author:

Valizadeh SimaORCID,Nasiopoulos Panos,Ward Rabab

Funder

Qatar National Research Fund

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference45 articles.

1. Ahn YJ, Sim D (2019) Fast mode decision and early termination based on perceptual visual quality for HEVC encoders. J Real-Time Image Proc 16(6):1927–1942

2. Aswathappa BHK, Rao KR (2010) Rate-distortion optimization using structural information in H.264 strictly intra-frame encoder, in System Theory (SSST), 2010 42nd Southeastern Symposium on, pp. 367–370

3. Bjontegaard G (2001) Calculation of average PSNR difference between RD curves, in Proc. 13th Meeting ITU-T Q.6/SG16 VCEG , Austin, TX

4. Bossen F (2012) HM 9 common test conditions and software reference configurations, Joint Collaborative Team on Video Coding (JCT-VC), Document JCTVC-J1100, Stockholm

5. Chen Z, Guillemot C (2010) Perceptually-friendly H.264/AVC video coding based on Foveated just-noticeable-distortion model. Circuits and Systems for Video Technology, IEEE Transactions on 20:806–819

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1. Impact of Video Motion Content on HEVC Coding Efficiency;Computers;2024-08-18

2. Two-Stage Perceptual Quality Oriented Rate Control Algorithm for HEVC;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-01-22

3. Perceptually Weighted Rate Distortion Optimization for Video-Based Point Cloud Compression;IEEE Transactions on Image Processing;2023

4. Learning-based bypass zone search algorithm for fast motion estimation;Multimedia Tools and Applications;2022-07-11

5. An HEVC-compliant perceptual video coding using just noticeable difference;Multimedia Tools and Applications;2021-09-28

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