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作者： Kim, Daehee Lee, Seungwon Paik, Joonki Image Processing and Intelligent Systems Laboratory Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University 221 Heuksuk-Dong Dongjak-Ku Seoul 156-756 Korea Republic of

ISBN: (纸本)9783642105456

We present a gait recognition system using infra-red (IR) images. Since an IR camera is not affected by the intensity of illumination, it is able to provide constant recognition performance regardless of the amount of illumination. Model-based object tracking algorithms enable robust tracking with partial occlusions or dynamic illumination. However, this algorithm often fails in tracking objects if strong edge exists near the object. Replacement of the input image by an IR image guarantees robust object region extraction because background edges do not affect the IR image. In conclusion, the proposed gait recognition algorithm improves accuracy in object extraction by using IR images and the improvements finally increase the recognition rate of gaits. © 2009 Springer-Verlag Berlin Heidelberg.

关键词： image enhancement

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Comparative analysis of wavelet-based scale-invariant feature extraction using different wavelet bases

Comparative analysis of wavelet-based scale-invariant featur...

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作者： Lim, Joohyun Kim, Youngouk Paik, Joonki Image Processing and Intelligent Systems Laboratory Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University 221 Heuksuk-Dong Dongjak-Ku Seoul 156-756 Korea Republic of 401-402 B/D 193 Yakdae-Dong WonMi-Gu Puchon-Si KyungGi-Do 420-140 Korea Republic of

ISBN: (纸本)9783642105456

In this paper, we present comparative analysis of scale-invariant feature extraction using different wavelet bases. The main advantage of the wavelet transform is the multi-resolution analysis. Furthermore, wavelets enable localigation in both space and frequency domains and high-frequency salient feature detection. Wavelet transforms can use various basis functions. This research aims at comparative analysis of Daubechies, Haar and Gabor wavelets for scale-invariant feature extraction. Experimental results show that Gabor wavelets outperform better than Daubechies, Haar wavelets in the sense of both objective and subjective measures. © 2009 Springer-Verlag Berlin Heidelberg.

关键词： Feature extraction

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Ringing artifact removal in digital restored images using multi-resolution edge map

Ringing artifact removal in digital restored images using mu...

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作者： Kim, Sangjin Jun, Sinyoung Lee, Eunsung Shin, Jeongho Paik, Joonki Image Processing and Intelligent Systems Laboratory Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University 221 Heuksuk-Dong Dongjak-Ku Seoul 156-756 Korea Republic of Department of Web Information Engineering Hankyong National University 67 Seokjeong-Dong Anseong Kyonggi-Do 456-749 Korea Republic of

ISBN: (纸本)9783642105456

This paper presents a novel approach to reducing ringing artifact in digitally restored images by using multi-resolution edge map. The performance of reducing ringing artifacts depends on the accurate classification of the local features in the image. The discrete wavelet transform (DWT) provides effective insight into both spatial and frequency characteristics of an image. Through the DWT analysis, we show that ringing artifacts can be suppressed to a great extent by using multiple-level edge maps, which provide enhanced matching to local edges. Base on the experimental results, the proposed method can reduce ringing artifacts with minimized edge degradation by using DWT analysis. © 2009 Springer-Verlag Berlin Heidelberg.

关键词： Discrete wavelet transforms

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Regularized Iterative Restoration of Combined Optical and Color Filter Array Degradation

Regularized Iterative Restoration of Combined Optical and Co...

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International Conference on Future Generation Communication and Networking Symposia, FGCNS

作者： Yoonjong Yoo Sinyoung Jun Jeongho Shin Joonki Paik Image Processing and Intelligent System Laboratory Department of Advanced Imaging Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University Seoul South Korea Department of Web information Engineering Hankyong National University Gyeonggi South Korea

This paper presents an image formation model of a digital camera with consideration of both optical and the Bayer color filter array (CFA) degradations. Based on the proposed model, a regularized iterative image restoration algorithm is presented to deconvolve the space-variant image degradation. The spatially adaptive version further improves the restoration quality. Hardware implementation issues are briefly summarized, and future modification plan is presented.

关键词： Optical filters Optical arrays Degradation image restoration Interpolation Color Cameras Deconvolution Lenses Optical films

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Spatially Adaptive image Restoration and its FIR Implementation

Spatially Adaptive Image Restoration and its FIR Implementat...

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International Conference on Future Generation Communication and Networking Symposia, FGCNS

作者： Jinyoung Youn Younguk Park Jeongho Shin Joonki Paik Image Processing and Intelligent System Laboratory Graduate School of Advanced Imaging Science Department of Advanced Imaging Multimedia and Film Chung-Ang University Seoul South Korea Department of Web information Engineering Hankyong National University Gyeonggi South Korea

This paper presents a spatially adaptive image restoration for EDoF lens images. A practical implementation method is also discussed for real-time applications. For basic image restoration we adopt the truncated constrained least squares (TCLS) filter, and for adaptively selecting the weights of the observed and the restored images we compute local variance. Based on experimental results, we can claim that the proposed restoration algorithm can successfully remove the image degradation with suppressing noise amplification.

关键词： image restoration Finite impulse response filter Degradation Lenses Least squares methods Adaptive filters image processing Conferences Adaptive systems intelligent systems

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Active shape model-based gait recognition using infrared images

International Journal of Signal Processing, Image Processing...

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International Journal of Signal processing, image processing and Pattern Recognition 2008年第4期2卷 1-12页

作者： Kim, Daehee Lee, Seungwon Paik, Jooki Image Processing and Intelligent Systems Laboratory Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University 221 Heuksuk-Dong Dongjak-Ku Seoul 156-756 Korea Republic of

关键词： image enhancement

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Ringing artifact removal in digital restored images using multi-resolution edge map

International Journal of Signal Processing, Image Processing...

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International Journal of Signal processing, image processing and Pattern Recognition 2008年第4期2卷 95-106页

关键词： Discrete wavelet transforms

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Comparative analysis of wavelet-based scale-invariant feature extraction using different wavelet bases

International Journal of Signal Processing, Image Processing...

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International Journal of Signal processing, image processing and Pattern Recognition 2008年第4期2卷 29-38页

In this paper, we present comparative analysis of scale-invariant feature extraction using different wavelet bases. The main advantage of the wavelet transform is the multi-resolution analysis. Furthermore, wavelets enable localization in both space and frequency domains and high-frequency salient feature detection. Wavelet transforms can use various basis functions. This research aims at comparative analysis of Haar, Daubechies and Gabor wavelets for scale-invariant feature extraction. Experimental results show that Gabor wavelets outperform better than Haar, Daubechies wavelets in the sense of both objective and subjective measures.

关键词： Feature extraction

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Fingerprint Watermarking for H.264 Streaming Media

Fingerprint Watermarking for H.264 Streaming Media

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Frontiers in the Convergence of Bioscience and Information Technologies, FBIT

作者： Sooyeun Jung Dongeun Lee Seongwon Lee Joonki Paik Image Processing and Intelligent Systems Laboratory Department of Image Engineering Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University Seoul South Korea Department of Computer Engineering Kwangwoon University Seoul South Korea

In this paper we propose a method that identifies users at H.264 streaming using watermarking with fingerprints. The watermark can efficiently reduce the potential danger of forgery or alteration. Especially a biometric watermark has various advantages. Among entire biometric characteristics, the fingerprint is the most convenient and economical. In this paper we propose a novel fingerprint-based watermarking technique that can survive under very low bit-rate compression. The proposed algorithm consists of enhancement of a fingerprint image, watermark insertion using discrete wavelet transform. In this paper we also analyze H.264 compression pattern and its effects on watermarking. After restoring the damaged watermark sequence using various filters, the algorithm extracts the embedded watermark. The proposed algorithm can achieve robust watermark extraction against H.264 compressed videos.

关键词： Fingerprint recognition Watermarking Streaming media image coding Biometrics Discrete wavelet transforms Forgery image matching Pattern analysis image restoration

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Block matching-based background generation and non-rigid shape tracking for video surveillance

Block matching-based background generation and non-rigid sha...

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International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR)

作者： Taekyung Kim David Tohyun Paik Joonki Paik Image Processing and Intelligent Systems Laboratory Department of Image Engineering Graduate School of Advance Imaging Science Multimedia and Film Chung-Ang University Seoul South Korea College of Arts and Sciences Class of Biology major Boston University Boston USA

This paper presents a robust, real-time block matching-based tracking method for deformable objects. Block matching has been used for various image processing applications as well as video coding because it has a regular computing structure. Video tracking based on block matching, however, fails to provide correct motion information of the object when; (i) background changes spatio-temporally, (ii) an object deforms, and (iii) occlusion occurs. To solve these problems, background is first generated to localize a deformable object, and the object is defined by the corresponding boundary. Shape of the object is reconstructed by using a set of shape control points (SCPs) inside the object boundary, and the trajectory of each SCP is traced by block matching. We use an additional SCP Preserving step at every certain interval of frames for more efficient object tracking. For the experiment we used a computer-generated moving fish sequence and an outdoor sequence. Experimental results show that the proposed tracking algorithm can solve the problem of existing block matching-based methods, and at the same time it can track an object with occlusion and/or deformation.

关键词： Video surveillance Shape control Robustness Video compression image processing Tracking Wavelet analysis image analysis Pattern analysis Pattern recognition

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