By Chul Keun Kim, Doug Young Suh, Gwang Hoon Park (auth.), Jacques Blanc-Talon, Wilfried Philips, Dan Popescu, Paul Scheunders (eds.)
This e-book constitutes the refereed lawsuits of the eighth overseas convention on complex suggestions for clever imaginative and prescient structures, ACIVS 2006, held in Antwerp, Belgium in September 2006.
The forty five revised complete papers and sixty five revised poster papers offered have been rigorously reviewed and chosen from round 242 submissions. The papers are equipped in topical sections on noise relief and recovery, segmentation, movement estimation and monitoring, video processing and coding, digital camera calibration, picture registration and stereo matching, biometrics and safeguard, scientific imaging, photo retrieval and snapshot realizing, in addition to category and recognition.
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Additional info for Advanced Concepts for Intelligent Vision Systems: 8th International Conference, ACIVS 2006, Antwerp, Belgium, September 18-21, 2006. Proceedings
To achieve a good performance, a noise reduction algorithm should adapt itself to the spatial context. The wavelet transform  signiﬁcantly facilitates the construction of such spatially adaptive algorithms, due to its energy compaction property: it compresses the essential information into a few large coeﬃcients which represent the image details along several resolution scales. Typical wavelet based denoising methods consist of three steps: (i) compute the discrete wavelet transform (DWT) or a non-decimated wavelet transform, (ii) remove noise from the wavelet coeﬃcients and (iii) reconstruct the enhanced image by using the inverse wavelet transformation.
Y. H. 6 Anchor 0 100 200 300 400 500 bit-rate[kbits/sec] 600 700 (c)Mobile Fig. 12. R-D curves of Proposed method and current method 800 Directional Filtering for Upsampling According to Direction Information 11 5 Conclusions This paper suggests using direction information of intra prediction again in upsampling for spatial scalable coding. This paper, also, provides directional interpolation by introducing a method to apply the current low pass filter used in vertical and horizontal 1:2 interpolation to diagonal 1:2 interpolation.
1 Introduction Image restoration is a widely known topic in image processing, consisting of recover some deteriorated features of an image. But, before its use as a scientiﬁc subject, restoration is a term used in the artistic world meaning the task of cleaning and modifying a spoiled work of art in order to make it as similar as possible to the aspect it had when created. Professionals of art restoration must have a multidisciplinary, both artistic and scientiﬁc training. Though it has been introduced recently, as in most other aspects, nowadays the help aﬀorded by computer design packages of programs is very important.
Advanced Concepts for Intelligent Vision Systems: 8th International Conference, ACIVS 2006, Antwerp, Belgium, September 18-21, 2006. Proceedings by Chul Keun Kim, Doug Young Suh, Gwang Hoon Park (auth.), Jacques Blanc-Talon, Wilfried Philips, Dan Popescu, Paul Scheunders (eds.)