计算机科学 ›› 2021, Vol. 48 ›› Issue (5): 155-162.doi: 10.11896/jsjkx.200800079
徐艺菲, 熊淑华, 孙伟恒, 何小海, 陈洪刚
XU Yi-fei, XIONG Shu-hua, SUN Wei-heng, HE Xiao-hai, CHEN Hong-gang
摘要: 经高效视频编解码标准HEVC压缩后的视频在高压缩比、低码率的情况下存在明显的压缩效应。针对该问题,提出了一种基于非局部低秩(Non-local Low-rank,NLLR)和自适应量化约束(Adaptive Quantization Constraint,AQC)先验的HEVC后处理算法。该算法首先构造在最大后验概率框架下的优化问题,然后利用解码后的压缩视频和量化参数QP获取非局部低秩和自适应量化约束先验信息,最后利用split-Bregman迭代算法来解决所提的优化问题,从而有效去除压缩效应,提升重建视频质量。其中,非局部低秩先验通过构建基于相似块聚类的非局部低秩模型来获得;自适应量化约束先验通过联合不同量化参数QP下的约束特性与视频的DCT域块活动性来获得。实验结果表明,在同等码率的情况下,与HEVC标准相比,所提算法在帧内编码模式下可以达到平均0.259 7 dB的PSNR提升,在帧间编码模式下可以达到平均0.282 8 dB的PSNR提升。
中图分类号:
[1]WAN S,YANG F Z.New Generation of High Efficiency Video Coding H.265/HEVC:Principles,Standards and Implementation[M].Beijing:Publishing House of Electronics Industry,2014:IV. [2]ZHANG X,XIONG R,LIN W,et al.Low-Rank based Nonlocal Adaptive Loop Filter for High-Efficiency Video Compression[J].IEEE Transactions on Circuits and Systems for Video Technology,2017,27(10):2177-2188. [3]HE X Y,DUAN L Y,LIN W Y.Deep Residual Network Based HEVC Compressed Videos Enhancement[J].Computer Science,2019,46(3):88-91. [4]GEMAN D,REYNOLDS G.Constrained Restoration and theRecovery of Discontinuities[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2002,14(3):367-383. [5]MUMFORD D,SHAH J.Optimal Approximations by Piecewise Smooth Functions and Associated Variational Problems[J].Communications on Pure & Applied Mathematics,1989,42(5):577-685. [6]ZHANG J,ZHAO D B,GAO W.Group-Based Sparse Representation for Image Restoration[J].IEEE Transactions on Image Processing,2014,23(8):3336-3351. [7]LI A,CHEN D Y,SUN G L,et al.Sparse Representation-Based Image Restoration via Nonlocal Supervised Coding[J].Optical Review,2016,23(5):776-783. [8]LIU H F,XIONG R Q,LIU D,et al.Image Denoising via Low Rank Regularization Exploiting Intra and Inter Patch Correlation[J].IEEE Transactions on Circuits and Systems for Video Technology,2018,28(12):3321-3332. [9]PARK S H,KIM D S.Theory of Projection onto the Narrow Quantization Constraint Set and Its Application[J].IEEE Transactions on Image Processing,1999,8(10):1361-1373. [10]YANG Y Y,GALATSANOS N P.Removal of Compression Artifacts Using Projections onto Convex Sets and Line Process Modeling[J].IEEE Transactions on Image Processing,1997,6(10):1345-1357. [11]ZHAO C,ZHANG J,MA S W,et al.Reducing Image Compression Artifacts by Structural Sparse Representation and Quantization Constraint Prior[J].IEEE Transactions on Circuits and Systems for Video Technology,2017,27(10):2057-2071. [12]ZHANG J,XIONG R Q,ZHAO C,et al.CON-COLOR:Con-strained Non-Convex Low-Rank Model for Image Deblocking[J].IEEE Transactions on Image Processing,2016,25(3):1246-1259. [13]ZHANG J,ZHAO D B,XIONG R Q,et al.Image Restoration Using Joint Statistical Modeling in a Space-Transform Domain[J].IEEE Transactions on Circuits & Systems for Video Technology,2014,24(6):915-928. [14]TIRER T,GIRYES R.Image Restoration by Iterative Denoising and Backward Projections[J].IEEE Transactions on Image Processing,2019,28(3):1220-1234. [15]ZHANG X F,LIN W S,XIONG R Q,et al.Low-Rank Decomposition Based Restoration of Com-pressed Images via Adaptive Noise Estimation[J].IEEE Transactions on Image Processing,2016,25(9):4158-4171. [16]JUNG C K,JIAO L C,QI H T,et al.Image De-blocking viaSparse Representation[J].Signal Processing Image Communication,2012,27(6):663-677. [17]ZHANG X F,XIONG R Q,FAN X P,et al.Compression Artifact Reduction by Overlapped-Block Transform Coefficient Estimation with Block Similarity[J].IEEE Transactions on Image Processing,2013,22(12):4613-4626. [18]BJONTEGARD G.Calculation of Average PS-NR Differencesbetween RD-curves[C]//13th Video Coding Experts Group Meeting.Austin:ITU-T VCEG-M33,2001:2-4. [19]STANKIEWICZ O,WEGNER K,KARWOW-SKI D,et al.HEVC Encoding Assisted with Noise Reduction[J].International Journal of Electronics and Telecommunications,2018,64(3):285-292. |
[1] | 李发光, 伊力哈木·亚尔买买提. 基于改进CenterNet的航拍绝缘子缺陷实时检测模型 Real-time Detection Model of Insulator Defect Based on Improved CenterNet 计算机科学, 2022, 49(5): 84-91. https://doi.org/10.11896/jsjkx.210400142 |
[2] | 何权奇, 余飞鸿. 面向无线网络相机的低功耗架构研究综述 Review of Low Power Architecture for Wireless Network Cameras 计算机科学, 2021, 48(6A): 369-373. https://doi.org/10.11896/jsjkx.201100099 |
[3] | 刘东, 王叶斐, 林建平, 马海川, 杨闰宇. 端到端优化的图像压缩技术进展 Advances in End-to-End Optimized Image Compression Technologies 计算机科学, 2021, 48(3): 1-8. https://doi.org/10.11896/jsjkx.201100134 |
[4] | 蔡于涵,熊淑华,孙伟恒,Karn Pradeep,何小海. 基于运动矢量细化的帧率上变换与HEVC结合的视频压缩算法 Video Compression Algorithm Combining Frame Rate Up-conversion with HEVC Standard Based on Motion Vector Refinement 计算机科学, 2020, 47(2): 76-82. https://doi.org/10.11896/jsjkx.190500092 |
[5] | 张晶晶, 张爱华, 纪海峰. 基于小波与分形相结合的图像压缩编码 Image Compression Encoding Based on Wavelet Transform and Fractal 计算机科学, 2019, 46(8): 310-314. https://doi.org/10.11896/j.issn.1002-137X.2019.08.051 |
[6] | 徐婧瑶, 王祖林, 徐迈. 基于深度学习的视频转码快速算法 Deep Learning Based Fast VideoTranscoding Algorithm 计算机科学, 2019, 46(3): 113-118. https://doi.org/10.11896/j.issn.1002-137X.2019.03.016 |
[7] | 郭红伟, 骆洪军, 刘帅, 牛林, 杨波. 一种改进的R-λ模型码率控制算法 Improved R-λ Model Based Rate Control Algorithm 计算机科学, 2019, 46(3): 142-147. https://doi.org/10.11896/j.issn.1002-137X.2019.03.021 |
[8] | 赵振兵, 崔雅萍, 戚银城, 杜丽群, 张珂, 翟永杰. 基于改进的R-FCN航拍巡线图像中的绝缘子检测方法 Detection Method of Insulator in Aerial Inspection Image Based on Modified R-FCN 计算机科学, 2019, 46(3): 159-163. https://doi.org/10.11896/j.issn.1002-137X.2019.03.024 |
[9] | 衡阳, 陈峰, 徐剑峰, 汤敏. 基于压缩感知的心脏磁共振快速成像的应用现状与发展趋势 Application Status and Development Trends of Cardiac Magnetic Resonance Fast Imaging Based on Compressed Sensing Theory 计算机科学, 2019, 46(1): 36-44. https://doi.org/10.11896/j.issn.1002-137X.2019.01.006 |
[10] | 杜秀丽, 胡兴, 陈波, 邱少明. 基于加权非局部相似性的视频压缩感知多假设重构算法 Multi-hypothesis Reconstruction Algorithm of DCVS Based on Weighted Non-local Similarity 计算机科学, 2019, 46(1): 291-296. https://doi.org/10.11896/j.issn.1002-137X.2019.01.045 |
[11] | 刘菁华, 陈婧. 一种基于平面运动视差不变性的立体视频整帧丢失重建技术 Whole Frame Loss Concealment Method for Stereo Video Basedon Disparity Consistence 计算机科学, 2018, 45(6): 270-274. https://doi.org/10.11896/j.issn.1002-137X.2018.06.048 |
[12] | 田伟, 刘浩, 陈根龙, 宫晓蕙. 面向分块压缩感知的交叉子集导引自适应观测 Cross Subset-guided Adaptive Measurement for Block Compressive Sensing 计算机科学, 2020, 47(12): 190-196. https://doi.org/10.11896/jsjkx.200800197 |
|