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检索条件"机构=Image Processing and Image Communication Lab"

共 203 条记录，以下是11-20 订阅

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Improved SAI method using non-local spatial constraint for image interpolation

Improved SAI method using non-local spatial constraint for i...

引用

2011 International Conference on Wireless communications and Signal processing, WCSP 2011

作者： Bian, Jueping Gan, Zongliang Zhang, Mengcheng Zhu, Xiuchang Jiangsu Province Key Lab on Image Processing and Image Communication NUPT Nanjing China

ISBN: (纸本)9781457710100

This paper proposes an improved image interpolation method based on the soft-decision adaptive interpolation (SAI) algorithm. Natural images often contain repeatable patterns and structures throughout the image, which is called non-local property. We can use this non-local strategy to improve the interpolation quality by better estimating the model parameters and Lagrangian multiplier. There are two steps in our method. In the first step, similar patches of the given block are found in the initialized high resolution image, and the model parameters can be determined properly using the expanded piecewise auto regression (PAR) model and non-local spatial constraint. In the second step, the self-similarity of patches across the high and low resolution images is exploited to solve the Lagrangian multiplier , thus to make the data estimation robust. Experiments indicate that the improved method can achieve good results both subjectively and objectively. © 2011 IEEE.

关键词： Interpolation

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引用

2011 International Conference on Wireless communications and Signal processing, WCSP 2011

作者： Cui, Ziguan Gan, Zongliang Zhu, Xiuchang Image Processing and Image Communication Lab Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781457710100

Conventional Rate Control (RC) schemes for video coding mostly take objective metric as distortion measurement, which can not achieve optimal subjective quality. This work applies Structural Similarity (SSIM) based subjective distortion to rate distortion optimization and RC in H.264, and proposes a SSIM optimal macroblock (MB) layer RC scheme. First, a SSIM quadratic distortion model is proposed based on extensive experiments and theoretical analysis. Then an improved quadratic Rate Quantization (R-Q) model is combined to obtain the solution of SSIM optimal MB layer quantization step (Q step) by Lagrange multiplier method. Experimental results show that the proposed scheme preserves more image structural information and thus acquires better subjective quality compared with objective metric optimal MB layer RC JVT-O016 and classic JVT-G012. © 2011 IEEE.

关键词： image coding

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Compressed Video Super-resolution Reconstruction Based on Regularized Algorithm

Compressed Video Super-resolution Reconstruction Based on Re...

引用

2006 8th International Conference on Signal processing

作者： Xu Zhong-qiang Gan Zongliang Zhu Xiu-chang Information Industry Ministry and Jiangsu Province Key Lab of Image Processing & Image Communication Nanjing University of Posts & Telecommunications

ISBN: (纸本)0780397371

Estimating high-resolution(HR) video from a sequence of low-resolution(LR) compressed observations is the focus of this *** on the theory of regularization,this paper proposes a new form of regularized cost function to control the within-channel balance between received data and prior information,and a channel weight coefficient to control the cross-channel *** LR frames are adaptively weighted according to their reliability and the regularization parameter is simultaneously estimated for each channel with ameliorating artifacts in compressed *** iterative gradient descent algorithm is utilized to reconstruction the HR *** results demonstrate that the proposed algorithm has an improvement in terms of both objective and subjective quality.

关键词： Regularization multichannel super-resolution reconstruction compressed video

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Fuzzy reasoning based temporal error concealment

Fuzzy reasoning based temporal error concealment

引用

6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009

作者： Zhan, Xuefeng Zhu, Xiuchang Nanjing University of Posts and Telecommunications Image Processing and Image Communication Lab. Nanjing China

ISBN: (纸本)9780769537351

A novel temporal error concealment based on fuzzy reasoning is proposed in this paper. On temporal error concealment, motion vector (MV) of the lost block can be selected from candidate MVs. Generally, side match distortion (SMD) which reflects the continuity across the boundary and sum of absolute difference (SAD) which shows the degree of similarity of matching area are two widely used criterions to make the decision. Each criterion describes the status partly. Combining these two measures, a refined measure based on fuzzy reasoning is calculated to balance the effects of SMD and SAD. According to the experimental results, our method can perform better than the others. © 2009 IEEE.

关键词： Errors

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Refined spatial error concealment with directional entropy

Refined spatial error concealment with directional entropy

引用

5th International Conference on Wireless communications, Networking and Mobile Computing, WiCOM 2009

作者： Xuefeng, Zhan Xiuchang, Zhu Image Processing and Image Communication Lab. Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781424436934

A refined error concealment method for intra frame in H.264 is proposed in this work. Directional entropy of neighboring edges is used to classify the content of the lost block. Some techniques aimed to shorten the computation time without degrading quality of reconstructed video are presented to enforce multi-directional interpolation. As for block with high texture, either bilinear or multi-directional interpolation alone is not so well to recover, we integrate the two methods to get the final result. Experimental results demonstrate the efficiency and better performance of proposed method as compared to other interpolation based methods. ©2009 IEEE.

关键词： Interpolation

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SSIM-based content adaptive frame skipping for low bit rate H.264 video coding

SSIM-based content adaptive frame skipping for low bit rate ...

引用

2010 IEEE 12th International Conference on communication Technology, ICCT'2010

作者： Cui, Ziguan Zhu, Xiuchang Image Processing and Image Communication Lab. Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781424468690

Conventional rate control schemes for H.264/AVC video coding usually regulate output bit rate to match channel bandwidth by adjusting quantization parameter at fixed full frame rate, and the passive frame skipping to avoid buffer overflow usually occurs when scene changes or high motions exist in video sequences especially at low bit rate, which degrades spatial-temporal quality and causes jerky effect. In this paper, an active content adaptive frame skipping scheme is proposed instead of passive methods, which skips subjectively trivial frames by structural similarity (SSIM) measurement. The saved bits from skipped frames are allocated to coded key ones to enhance their spatial quality, and the skipped frames are well recovered from adjacent key ones at the decoder side to maintain constant frame rate. Experimental results show that the proposed scheme acquires better and more consistent spatial-temporal quality both in objective (PSNR) and subjective (SSIM) sense with low complexity compared to classic fixed frame rate control methods JVT-G012. © 2010 IEEE.

关键词： Quality control

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A low complexity mb layer rate control algorithm based on motion similarity for H.264

A low complexity mb layer rate control algorithm based on mo...

引用

2010 International Conference on Wireless communications and Signal processing, WCSP 2010

作者： Cui, Ziguan Zhu, Xiuchang Image Processing and Image Communication Lab. Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781424475551

This paper presents a simple but effective macroblock (MB) layer rate control (RC) scheme for H.264/AVC with low complexity. First, to reduce computation cost and inaccuracy of linear mean absolute difference (MAD) prediction at MB layer adopted in JVT-G012, MAD is computed directly according to the difference between current original MB and the reference blocks pointed by estimated MV using intensive motion similarity. Then, MB header bits are predicted based on spatial-temporal correlation because it is not constant due to complicated coding modes and high compression efficiency of H.264. Finally, MB target bit rate is allocated according to its complexity and the parameters of quadratic R-D model are updated using coded MBs with high spatial-temporal correlation and motion similarity not the last coded data points. Simulation results show that the proposed scheme achieves an average PSNR gain of 0.37 dB, meets better with target bit rate, produces more consistent quality for the MBs in a frame and thus improves visual quality compared to classic JVT-H017 RC algorithm, simultaneously has lower computation complexity and suits for real-time application. ©2010 IEEE.

关键词： image coding

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Subjective quality optimized intra mode selection for H.264 I frame coding based on SSIM

Subjective quality optimized intra mode selection for H.264 ...

引用

International Conference on image and Graphics

作者： Cui, Ziguan Zhu, Xiuchang Image Processing and Image Communication Lab Nanjing University of Posts and Telecommunications Nanjing 210003 China

ISBN: (纸本)9780769545417

H.264/AVC adopts rate distortion optimization (RDO) technique to select optimal macroblock (MB) coding mode and achieves higher compression efficiency, but the traditional RDO framework employs pixelwise mean square error (MSE) and the like as objective distortion metric, which can not acquire optimal subjective quality. This paper applies structural similarity (SSIM) based subjective distortion to RDO-based intra mode decision in H.264 I frame coding, and further proposes a frame layer adaptive Lagrange multiplier adjustment scheme to get better tradeoff between rate and SSIM distortion. Experimental results show that, the proposed scheme encodes more image structural information and thus acquires better subjective quality and coding efficiency compared with MSE-based RDO method. © 2011 IEEE.

关键词： Mean square error

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Multi-stage frame error concealment algorithm for H.264/AVC based on estimated MB feature

Multi-stage frame error concealment algorithm for H.264/AVC ...

引用

5th International Conference on Wireless communications, Networking and Mobile Computing, WiCOM 2009

作者： Ziguan, Cui Xiuchang, Zhu Image Processing and Image Communication Lab. Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781424436934

This paper proposes a novel multi-stage frame error concealment (EC) algorithm for H.264/AVC based on estimated MB modes and MVs. The proposed method first divides the lost frame into three regions according to MB features in previous frame: which are regular motion region within the object and background, irregular motion region mainly including border areas between various parts of moving object and background, and intra-coded MB region. Then we recover the three regions sequentially by utilizing suitable schemes, motion vector copy method for regular motion region, improved optical flow based method for irregular motion region, and bilinear interpolation (BI) or directional interpolation (DI) method for intra-coded MB region. Experimental results show that our proposed adaptive algorithm can effectively utilize the advantages of classic methods and obtain better recovery performance both in subjective and objective video quality at low computational complexity, and our method effectively prevents the error propagation in the following frames and thus improves the reconstruction quality of the entire video sequence. ©2009 IEEE.

关键词： Adaptive algorithms

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Motion vector recovery for H.264 based on mean shift

Motion vector recovery for H.264 based on mean shift

引用

2009 15th Asia-Pacific Conference on communications, APCC 2009

作者： Zhan, Xuefeng Zhu, Xiuchang Nanjing University of Posts and Telecommunications Image Processing and Image Communication Lab. Nanjing 210003 China

ISBN: (纸本)9781424447855

In this paper, we describe a novel motion vector (MV) recovery method for H.264 which is based on mean shift procedure. In H.264, macroblock (MB) can be divided into several 4x4 blocks. Generally, MVs of these blocks in local region are very similar. To conceal the lost MB temporally, we consider the MV recovery of the lost MB as smooth operation in the neighboring area. The mean shift procedure is applied here to estimate MVs of lost blocks. Experimental results demonstrate their better performance. ©2009 IEEE.

关键词： Recovery

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