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The problem examined in this article is a cameras self-calibration having the varying intrinsic parameters with an unknown planar scene. This method is based on the use of two points through which passes a circle. The planar scene considered permits to calculate the projection matrices of any two points of the scene in used images. These matrices can(More)
In this paper, we propose an approach based on improved genetic algorithms for the camera calibration having the varying parameters. The present method is based on the formulation of a nonlinear cost function from the determination of the relationship between points of the image planes and all parameters of the cameras. The minimization of this function by(More)
In this paper, an analysis study of two encryption algorithms applied to images is performed in order to assess their robustness in terms of security. The first is the classical cryptosystem known as Advanced Encryption Standard (AES) and the second is issued from the study of chaotic signals called the logistic map. The experimental results and their(More)
This work proposes a method of camera self-calibration having varying intrinsic parameters from a sequence of images of an unknown 3D object. The projection of two points of the 3D scene in the image planes is used with fundamental matrices to determine the projection matrices. The present approach is based on the formulation of a nonlinear cost function(More)
In this article, we propose a new method of image stitching that computes, in a robust manner, the transformation model applied to creating a panorama that is close to reality. The random selection of matching points used in existing methods, using Random Sample Consensus (RANSAC) or the threshold of the execution process (iteration number) cannot generally(More)
In this article, we investigate image security for transmission in digital networks using a hybrid coding based on juxtaposed encryption and compression. We have proposed a new approach that integrates a dynamic Hill-Cipher encryption added to the step of quantizing of JPEG compression. A step by step demonstration is given in order to show the functioning(More)
This work presents a practical and new approach of self-calibration of cameras with varying parameters, by an unknown planar scene. We show that the estimation of the different parameters of the cameras used can be made from only two matches between two images of the planar scene. The strong point of our method resides at minimizing constraints on the(More)
Image stitching is used to combine multiple photographic images from camera network with overlapping field of view to produce panoramic view. With image stitching, the view is enlarged and the amount of information increases with the number of images that are stitched. In the existing methods, the whole images from the adjacent views are considered thus(More)
Mosaic reconstruction is a stitching process of multiple images, of a particular scene, in a single frame that provides a larger amount of information compared to the separate images. Nowadays, image mosaic is a key tool that has invaded different fields and disciplines such as photography, virtual environment, medicine, etc. In this work, we propose a new(More)