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Search Results: 1 - 10 of 11616 matches for " image "
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Les images médiévales
Jean-Claude Schmitt
Bulletin du Centre d’études Médiévales d’Auxerre , 2008, DOI: 10.4000/cem.4412
Abstract: Comment douter que les images furent au Moyen ge bien plus que ce que nous nommons aujourd’hui banalement une image ? Le monde médiéval s’est progressivement rempli d’images matérielles de toutes sortes : les unes peintes sur les murs, d’autres dans les livres – les miniatures étaient ainsi dénommées, non parce qu’elles étaient relativement petites, mais parce que le minium était la base de leur couleur rouge –, sur les vitraux des églises, sur les retables et tableaux de bois ; d’autres en...
A New Fast Iterative Blind Deconvolution Algorithm  [PDF]
Mamdouh F. Fahmy, Gamal M. Abdel Raheem, Usama S. Mohamed, Omar F. Fahmy
Journal of Signal and Information Processing (JSIP) , 2012, DOI: 10.4236/jsip.2012.31013
Abstract: Successful blind image deconvolution algorithms require the exact estimation of the Point Spread Function size, PSF. In the absence of any priori information about the imagery system and the true image, this estimation is normally done by trial and error experimentation, until an acceptable restored image quality is obtained. This paper, presents an exact estimation of the PSF size, which yields the optimum restored image quality for both noisy and noiseless images. It is based on evaluating the detail energy of the wave packet decomposition of the blurred image. The minimum detail energies occur at the optimum PSF size. Having accurately estimated the PSF, the paper also proposes a fast double updating algorithm for improving the quality of the restored image. This is achieved by the least squares minimization of a system of linear equations that minimizes some error functions derived from the blurred image. Moreover, a technique is also proposed to improve the sharpness of the deconvolved images, by constrained maximization of some of the detail wavelet packet energies. Simulation results of several examples have verified that the proposed technique manages to yield a sharper image with higher PSNR than classical approaches.
A New Image Stabilization Model for Vehicle Navigation  [PDF]
Frank Y. Shih, Alan Stone
Positioning (POS) , 2010, DOI: 10.4236/pos.2010.11002
Abstract: When a video camera is mounted on a vehicle’s frame, it experiences the same ride as a passenger and is subject to vertical displacement as the vehicle hits bumps on the road. This results in a captured video that may be difficult to watch because the bumps are transferred to the recorded video. This paper presents a new image stabilization model for vehicle navigation that can remove the effect of vertical vehicular motion due to road bumps. It uses a wheel sensor that monitors the wheel’s reaction with respect to road disturbances prior to the vehicle’s suspension system. This model employs an inexpensive sensor and control circuitry. The vehicle’s suspension system, bumpy road, and the compensation control system are modeled analytically. Experimental results show that the proposed model works suc-cessfully. It can eliminate 10 cm of drift and results in only 1 cm disturbance at the onset and the end of bumps.
Implementation of RANSAC Algorithm for Feature-Based Image Registration  [PDF]
Lan-Rong Dung, Chang-Min Huang, Yin-Yi Wu
Journal of Computer and Communications (JCC) , 2013, DOI: 10.4236/jcc.2013.16009

This paper describes the hardware implementation of the RANdom Sample Consensus (RANSAC) algorithm for featured-based image registration applications. The Multiple-Input Signature Register (MISR) and the index register are used to achieve the random sampling effect. The systolic array architecture is adopted to implement the forward elimination step in the Gaussian elimination. The computational complexity in the forward elimination is reduced by sharing the coefficient matrix. As a result, the area of the hardware cost is reduced by more than 50%. The proposed architecture is realized using Verilog and achieves real-time calculation on 30 fps 1024 * 1024 video stream on 100 MHz clock.

Gest?o da imagem: desenvolvendo um instrumento para a configura??o da imagem de produto
De Toni, Deonir;Schuler, Maria;
Revista de Administra??o Contemporanea , 2007, DOI: 10.1590/S1415-65552007000400007
Abstract: the image consumers develop regarding a certain product influences their purchasing decision. it's through this image they will think about the product, during the purchasing decision process. to know in details the image certain public develops about a product is a marketing researcher's ambition. this research validates a procedure regarding the generation of a powerful image configuration tool that is very easy to apply. to test the products image configuration technique - pict, first the main ideas composing the cellular telephone image for a college students group were identified and organized. than the adopted procedure's validity was tested. the procedure showed to be valid and reliable.
Lossless Image Compression Technique Using Combination Methods  [PDF]
A. Alarabeyyat, S. Al-Hashemi, T. Khdour, M. Hjouj Btoush, S. Bani-Ahmad, R. Al-Hashemi, S. Bani-Ahmad
Journal of Software Engineering and Applications (JSEA) , 2012, DOI: 10.4236/jsea.2012.510088
Abstract: The development of multimedia and digital imaging has led to high quantity of data required to represent modern imagery. This requires large disk space for storage, and long time for transmission over computer networks, and these two are relatively expensive. These factors prove the need for images compression. Image compression addresses the problem of reducing the amount of space required to represent a digital image yielding a compact representation of an image, and thereby reducing the image storage/transmission time requirements. The key idea here is to remove redundancy of data presented within an image to reduce its size without affecting the essential information of it. We are concerned with lossless image compression in this paper. Our proposed approach is a mix of a number of already existing techniques. Our approach works as follows: first, we apply the well-known Lempel-Ziv-Welch (LZW) algorithm on the image in hand. What comes out of the first step is forward to the second step where the Bose, Chaudhuri and Hocquenghem (BCH) error correction and detected algorithm is used. To improve the compression ratio, the proposed approach applies the BCH algorithms repeatedly until “inflation” is detected. The experimental results show that the proposed algorithm could achieve an excellent compression ratio without losing data when compared to the standard compression algorithms.
The 3D Computer Image of the Anterior Corneal Surface  [PDF]
Bo Wang, Xueping Huang, Jinglu Ying, Mingguang Shi
Engineering (ENG) , 2013, DOI: 10.4236/eng.2013.510B098

In this paper,we derive a nonlinearequation of corneal asphericity (Q) usingthe tangential radius of curvature (rt) on every semi-meridian. We transform the nonlinear equation into the linear equation and then obtain theQ-value of cor-neal semi-meridianby the linear regression method.We find the 360 semi-meridional variation rule of theQ-value us-ing polynomial function. Furthermore, we construct a new 3D corneal model and present a more realistic model of shape of the anterior corneal surface.

Human Plantar Pressure Image and Foot Shape Matching  [PDF]
A. K. Chong, J. A. Al-Baghdadi, P. Milburn
Journal of Biosciences and Medicines (JBM) , 2015, DOI: 10.4236/jbm.2015.36006

Medical doctors and podiatrists have been using plantar pressure for the evaluation of the foot loading in regard to foot biomechanics and foot health for decades. High plantar pressure can cause pain and foot injury such as plantar ulcer during walking. Two types of systems are suitable for pressure capture and they are commonly known as floor mat or floor pad and in-shoe pad. For the floor-mat system pressure values are displayed as image which does not depict the foot shape. Therefore, shortcoming of this system for plantar pressure recording during walking is that the location of the pressure value related to the plantar surface is only approximate. A research was conducted to determine whether markers can be placed on the plantar surface and their positions identifiable on the pressure image. This paper describes the technique for matching the plantar shape to the pressure image during walking.

An Analytical Study of Different Image Inpainting Techniques
Indian Journal of Computer Science and Engineering , 2012,
Abstract: Inpainting is the technique of filling in holes in an image to preserve its overall continuity. Applications of this technique include the restoration of old photographs and damaged film; removal of superimposed text like dates, subtitles, or publicity; and the removal of entire objects from the image like microphones or wires in special effects. In this paper, we analyze different digital inpainting algorithms for still images. The simultaneous propagation of texture and structure information achieved. The texture image repaired by the exemplar –based method; for the structure image, the Laplacian operator is used to enhance the structure information. TheLaplacian image is inpainted by the exemplar-based algorithm and the Poisson equation based reconstruction is applied thereafter. In 8 pixel neighborhood method, central pixel value is identified by investigating surrounded 8 neighborhood pixel properties like color variation, repetition, intensity and direction. Finally, in 2e basedinpainting technique, original image analyzed at encoder side so that some blocks removed during encoding. At decoder side, the image is restored by 2e-based inpainting and texture synthesis. Finally, we compare the computational cost of all the algorithms.
An Assessment on Irrevocable Compression of Encrypted Grayscale Image
K. Porkumaran,,S. Manimurugan,,Pradeep P Mathew
International Journal of Soft Computing & Engineering , 2012,
Abstract: This paper may deals with the miscellaneous troubles that may be occurs during the irrevocable compression applied on an encrypted grayscale image. This work is a comparative learn with diverse methods of irrevocable compression such as Compressive sensing technique and Iterative reconstruction technique on encrypted grayscale image. But they practiced a multiplicity of limitations. The major obscurity is to achieve higher compression ratio as well as the better quality of the reconstructed image. The higher compression ratio and the smoother the original image may furnish the better quality of the reconstructed image.
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