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Download Advanced Concepts for Intelligent Vision Systems: 16th by Sebastiano Battiato PDF

By Sebastiano Battiato

This publication constitutes the completely refereed court cases of the sixteenth overseas convention on complex ideas for clever imaginative and prescient structures, ACIVS 2015, held Catania, Italy, in October 2015. The seventy six revised complete papers have been rigorously chosen from 129 submissions.

Acivs 2015 is a convention targeting options for development adaptive, clever, secure and safe imaging structures. the point of interest of the convention is on following subject: low-level photo processing, video processing and digital camera networks, movement and monitoring, defense, forensics and biometrics, intensity and 3D, snapshot caliber development and overview, class and popularity, multidimensional sign processing, multimedia compression, retrieval, and navigation.

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Read or Download Advanced Concepts for Intelligent Vision Systems: 16th International Conference, ACIVS 2015, Catania, Italy, October 26-29, 2015. Proceedings PDF

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Extra resources for Advanced Concepts for Intelligent Vision Systems: 16th International Conference, ACIVS 2015, Catania, Italy, October 26-29, 2015. Proceedings

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Kieu et al. 4. : Real time camera phone guidance for compliant, document image acquisition without sight. In: Conference on Document Analysis and Recognition, ICDAR, Washington, USA, pp. 408–412, August 2013 5. : A new no-reference image quality measure for blurred images in spatial domain. Journal of Image and Graphics 1(1) (2013) 6. : Fast removal of non-uniform camera shake. In: Proceedings of the 2011 International Conference on Computer Vision, ICCV 2011, pp. 463–470. IEEE Computer Society, Washington, DC (2011).

The blur property of the document is not uniform at all. The blur is strong on the left and bottom parts of the document. A LUT (from blue color, the lowest level of blur to red color, the highest level of blur) is considered to illustrate the blur property of each patch in the document image. 4 DIQA Database In this experiment, we evaluate our blur measurement approach in a quantitative way. As it is a well-known fact, the quality of OCR is sensible to blurred characters, we have used the method introduced in [10] to evaluate our bl parameter.

ACIVS 2015, LNCS 9386, pp. 35–45, 2015. V. Umnov et al. The proposed method is based on the joint sparse coding method, which was previously used for image deblurring and image super-resolution [25]. 2. Fig. 1. Example of the ringing effect: reference image (left) and image with ringing effect (right). 1 Ringing Suppression Problem Formulation Consider the ringing effect produced by high frequency cut-off filter Rd which removes all the frequencies in the Fourier domain outside the circular mask with 1 centered at zero frequency point: radius ωd = 2d Rd (I) = F −1 (F(I) · ld ), where F and F −1 are Fourier transform and inverse Fourier transform respectively, ld is the mask ⎧ ⎨ 1, if ωx2 + ωy2 ≤ ωd , ld (ωx , ωy ) = ⎩ 0, if ωx2 + ωy2 > ωd .

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