Pixel Value Of Original Image Research Articles

Improving Data Security using Compression Integrated Pixel Interchange Model with Efficient Encryption Technique

We exist in a digital era in which communication is largely based on the transfer of digital knowledge over data networks. Disclosures are sometimes regarded as a transmitter that transmits a digital file. A system of encoding, efficient and easy yet secure model must be developed for quick and prompt transmission. The file is sent from source to destination where it is difficult to maintain the privacy of knowledge. The encryption of images is vital for securing sensitive information or images from unauthorized readers. By using a technique of selective encryption, the original image pixel values are completely obscured in this way and an intruder cannot retrieve statistical data from its original image. This paper introduces a new methodology for the use of a protective facility for the transmission of digital data over the public network. A highly established field with image compression is allowed for speedy transmission and efficient information storage. During the initial process, the original image is divided into blocks of the same size and sub segmentation is performed for accurate extraction of images within the boundaries. A random matrix is used to swap the pixels of the neighboring sub blocks. Afterwards, each pixel is randomly exchanged for the neighboring blocks with a random matrix, then each block is encrypted with the proposed function and then the encrypted data can be stored in cloud. The proposed method uses Image Segmentation based Compression Model with Pixel Interchange Encryption (ISbCPIE) Model for providing high security to the Image transmitted in the network. Compressor is needed to achieve rapid transmission and efficient storage. The proposed model is compared with the traditional models and the results show that the proposed model security levels are better than the existing models.

Occlusion Images Generation from Occlusion-Free Images for Criminals Identification based on Artificial Intelligence Using Image

In this paper, we propose the method to generate occlusion images which include sunglass and scarf from occlusion-free images for criminals identification. First, we construct an auxiliary set that has occlusion-free face image and its occluded face images from AR database. Secondly, pixel weights are determined by the statistical analysis of the degree depending on whether occlusion-free or occlusion. As the weight is closer to 1, the pixel value of original image is maintained as much as possible. Therefore, pixel values of occlusion-free region are preserved when the weights are closed to 1. Third, pixel values of the occlusion region of original image are replaced to pixel values which are the mean of occlusion images by multiplying the composited weights. As a result of generate face images with various occlusions using the proposed method, the images were able to preserve the person-specific characteristic, and criminals identification has become easier.

A Noise Adaptive Approach to Impulse Noise Detection and Reduction

A noise adaptive filter has been proposed in this study aiming to estimate the original image pixel values in the presence of impulse noise in monochromatic images. The proposed filter approach is noise adaptive that as the percentage of noise density increases in the image, the size of neighborhood in filtering window is also increased. Proposed approach comprises of two stages, one is impulse noise detection and the other is impulse noise reduction or cancellation. First stage is based on median and mean distance and thresholding whereas the second stage is based on reconstruction of the image using the values of neighboring pixels of the pixel under consideration detected as contaminated pixel by first stage. Reconstruction is done by estimating reference values using uncorrupted pixels in the neighborhood of pixel under consideration. The proposed method has been compared to various existing methods by using peak signal to noise ratio (PSNR) for measuring the objective quality strength. To measure the impulse noise detection the method has also been compared with other existing methods using the ratio of mis etection (MD) and false detection (FD).DOI: http://dx.doi.org/10.3126/njst.v15i1.12016 Nepal Journal of Science and TechnologyVol. 15, No.1 (2014) 67-76

Number Plate Extraction using Template Matching Technique

As an application of CCTV Traffic surveillance, retrieval of the number plate from the vehicles is an important dimension, which demands intelligent solution. In this document, template matching block of computer vision toolbox has been used to extract the vehicle number plate. It is assumed that images of the vehicle have been captured at a particular resolution and orientation. It is also assumed that alphanumeric characters on the plate have been written with a particular font style, type and size. This paper presents a new SIMULINK model in MATLAB which has been developed to extract the number plate from the vehicle. Each alphanumeric character on a plate is extracted and matched with template image with the help of template matching block. This block matches the pixel by pixel value of original image with one of the template images and gives the template metric value. To develop this SIMULINK model, Digital Signal Processing Toolbox and Computer Vision System Toolbox is used in MATLAB. The approach used for this model is template matching, which has been used for the recognition of letters and digits. This technique can be used for security purpose e.g. finding stolen cars, and for parking area management etc. General Terms Digital Signal Processing toolbox, Computer vision System toolbox, Simulink Blockset.

A novel image encryption scheme based on a linear hyperbolic chaotic system of partial differential equations

Compared with general chaotic systems, a linear hyperbolic chaotic system of partial differential equations with nonlinear boundary conditions has larger parameter space, stronger sensitivity to initial condition and control parameter, better random-like behavior and so on, but it has not been employed in cryptography so far. Then using its significant properties, we present a new cryptosystem with coupled map lattices and time-varying delay. The proposed image encryption algorithm with permutation–diffusion architecture can overcome some drawbacks in the existing methods, because the sum of pixel value of original image is used for determining the permutation parameters and the previous cipher image information is utilized in the next diffusion. Theoretical analysis and computer experiments confirm that the new algorithm is efficient, practicable, and reliable, with high potential to be adopted for network security and secure communications.

A Novel algorithm for image encryption by integrated pixel scrambling plus diffusion [IISPD] utilizing duo chaos mapping applicability in wireless systems

Abstract This paper presents a new method for image encryption by integrated pixel scrambling plus diffusion technique [IISPD]. The algorithm makes use of full chaotic property of logistic map and reduces time complexity. The algorithm calculates the permuting address for row by bit xor’ing the adjacent pixel values of original image. Similarly, the algorithm calculates the permuting address for column by bit xor’ing the adjacent pixel values of original image. Therefore, the new technique does not require the knowledge of probability density function of the chaotic orbits a priory, thus it reduces the complexity of the proposed technique. The diffusion is performed after scrambling and is based on two chaotic maps. Therefore, the key space and security of the algorithm is increased. The security analysis and its experimental analysis show that the proposed technique is highly sensitive to initial conditions. It also has higher key space, and higher degree of scrambling.

Modified patchwork-based watermarking scheme for satellite imagery

As a major global satellite data provider, National Remote Sensing Agency, Department of Space, Government of India, needs to protect copyright associated with the data. In this paper, we propose a modified patchwork-based watermarking (MPW) scheme in the spatial domain. The proposed MPW algorithm is capable of embedding a watermark with minimal manipulation of the original image pixel values. The watermark contains information about the provider and the intended recipient of the data. The MPW watermark embedding process does not create any visual artifacts and is imperceptible. The watermark retrieval process operates with the help of a key and does not require the original image. Our results demonstrate that the presented scheme successfully incorporates copyright requirements for satellite imagery.