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13th International Conference on Intelligent Control and Information processing, ICICIP 2025

作者： Li, Jiahao Wang, Zhongshuai Ghazali, Kamarul Hawari Bin Yan, Suqing Lan, Rushi Sun, Xiyan Luo, Xiaonan Guangxi Key Lab. of Image and Graphic Intelligent Processing Guilin University of Electronic Technology Guilin541004 China Centre for Advanced Industrial Technology University of Malaysia Pahang Al-Sultan Abdullah Pahang Pekan26600 Malaysia Int. Joint Research Lab. of Spatio-temporal Information and Intelligent Location Services Guilin University of Electronic Technology Guilin541004 China

ISBN: (纸本)9798331516147

Privacy-preserving image generation is particularly crucial in fields like healthcare, where data are both sensitive and limited. However, effective privacy preservation often compromises the visual quality and utility of the generated images due to privacy budget constraints. To address this issue, in this paper, We propose a novel network architecture, IRSEnet, which combines multi-scale feature extraction technology and residual channel attention mechanisms, aiming to enhance the visual quality of generated images and improve the performance of downstream classification tasks under differential privacy. The differential privacy mechanism ensures the security of sensitive data during training, while the multi-scale feature extraction module enhances feature extraction capabilities through parallel convolutional layers at multiple scales. Additionally, the channel attention module dynamically adjusts channel weights to focus on the most discriminative features. Experimental results demonstrate that this model significantly improves the utility of generated images and the accuracy of downstream classification tasks while preserving privacy. Future work will explore the application of this approach on larger datasets and across more diverse tasks. © 2025 IEEE.

关键词： Differential privacy

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IRSEnet: Differentially Private image Generation with Multi-Scale Feature Extraction and Residual Channel Attention

IRSEnet: Differentially Private Image Generation with Multi-...

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International Conference on Intelligent Control and Information processing (ICICIP)

作者： Jiahao Li Zhongshuai Wang Kamarul Hawari Bin Ghazali Suqing Yan Rushi Lan Xiyan Sun Xiaonan Luo Guangxi Key Lab. of Image and Graphic Intelligent Processing Guilin University of Electronic Technology Guilin China Centre for Advanced Industrial Technology University of Malaysia Pahang Al-Sultan Abdullah Pekan Pahang Malaysia Int. Joint Research Lab. of Spatio-temporal Information and Intelligent Location Services Guilin University of Electronic Technology Guilin China

ISBN: (数字)9798331516147

ISBN: (纸本)9798331516154

关键词： Training Differential privacy Privacy Visualization Accuracy image synthesis Computational modeling Feature extraction Security Synthetic data

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Adaptive lossy LZW algorithm for palettised image compression

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ELECTRONICS LETTERS 1997年第10期33卷 852-854页

作者： Chiang, SW Po, LM Department of Electronic Engineering CityU Image Processing Lab. City University of Hong Kong Kowloon Hong Kong

An adaptive lossy LZW algorithm is proposed for palettised image compression, that is a generalised algorithm of the conventional lossless LZW algorithm. The new algorithm employs an adaptive thresholding mechanism with human visual characteristics to constrain the distortion. With this distortion control, the compression efficiency is increased by similar to 40% for natural colour images, while maintaining good subjective quality on the reconstructed image. In addition, the encoded image file format is compatible with the original GIF decoder.

关键词： data compression image processing

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Fuzzy reasoning based temporal error concealment

Fuzzy reasoning based temporal error concealment

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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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Adaptive image compression using sparse dictionaries

Adaptive image compression using sparse dictionaries

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2012 19th International Conference on Systems, Signals and image processing, IWSSIP 2012

作者： Horev, Inbal Bryt, Ori Rubinstein, Ron Signal and Image Processing Lab. Department of Electrical Engineering Technion Haifa Israel Geometric Image Processing Lab. Department of Computer Science Technion Haifa Israel

ISBN: (纸本)9783200023284

Transform coding is a widely used image compression technique, where entropy reduction can be achieved by decomposing the image over a dictionary which provides compaction. Existing algorithms, such as JPEG and JPEG2000, utilize fixed dictionaries which are shared by the encoder and decoder. Recently, works utilizing content-specific dictionaries show promising results by focusing on specific classes of images and using highly specialized dictionaries. However, such approaches lose the ability to compress arbitrary images. In this paper we propose an input-adaptive compression approach, which encodes each input image over a dictionary specifically trained for it. The scheme is based on the sparse dictionary structure, whose compact representation allows relatively low-cost transmission of the dictionary along with the compressed data. In this way, the process achieves both adaptivity and generality. Our results show that although this method involves transmitting the dictionary, it remains competitive with the JPEG and JPEG2000 algorithms. © 2012 Institute of Telecommunica.

关键词： image compression

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Refined spatial error concealment with directional entropy

Refined spatial error concealment with directional entropy

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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 ...

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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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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 ...

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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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Precise high speed multi-target multi-sensor local positioning system

Precise high speed multi-target multi-sensor local positioni...

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Canadian Conference on Computer and Robot Vision

作者： Eichel, Justin A. Clausi, David A. Fieguth, Paul Vision and Image Processing Lab. University of Waterloo Waterloo Canada

ISBN: (纸本)9780769543628

When used for tracking, the combination of infrared (IR) and an internal measurement unit (IMU) allows researchers and industry to locate objects to within 1 cm at over 200 Hz with a latency less than 2 ms. This novel tracking system uses multiple cameras to triangulate an IR LED placed on the object and utilizes IMU data to measure the object's orientation and allow the system to be robust against visual occlusions. The cost-effective IR system is robust against illumination allowing the object to be tracked at over 50 feet from the camera positions. This distance is expected to increase with additional development. This paper describes the preliminary algorithms that utilize the information from both the IR and IMU systems in order to precisely track an object. The algorithms are tested against simulated data generated from profiling the hardware and real data collected from a system prototype. © 2011 IEEE.

关键词： Cost effectiveness

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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...

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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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