Digital Processing

Uttermost of Internet traffic is coordinated of applications where users are engrossed in procuring the data from server, which they access from the host .In other words, today’s Internet architecture is host-centric. This paper elaborates the need of data-centric architecture over host-centric architecture. But there are no possibilities to deploy pure data-centric architecture practically in one night. This is an incrementally deployable network architecture that successfully supports both services that is host-centric and data-centric network. And withal being data-centric and incrementally deployable, DCNA additionally fortifies mobility and multi-homing features effectively [12]. Keywords—Ad-hoc network, Particle swarm optimization, Dynamic route guidance, future proof, incrementally deployable.

We proposed a new algorithm for detection of micro calcifications using mathematical morphology, adaptive bilateral filter and radon transform. The Adaptive bilateral filter is able to smooth the noise, while enhancing edges and textures in the image. Morphology operations such as dilation, erosion, opening and closing are offering a quality extraction of Shapes. In this method the radon transform based methods is applied to extract the micro calcifications. The performance of the segmentation of micro calcification is to be improved by including the mathematical morphology operations along with Radon transform. Radon transform based methods are used in computer tomography which efficiently produced random projections and give a simultaneous translational rotational alignment in two and three dimensions. The size and shape of the lesions are measured by using canny edge detection methods and segmented results are generated. The proposed method evaluated with usefulness of the system with help expert radiologists.

Image fusion is one of the techniques in Image processing. In this paper, we are going to propose a Image fusion method based on Teaching Learning Based Optimization. Taking two multifocused images, we are going to divide them into blocks then the contrast visibility of the two image blocks then is calculated. TLBO algorithm is performed to obtain optimal coefficients and fused image is acquired finally using this Optimal Coefficients. For different set of multi focus images, different quantitative measured are calculated. Then the results of proposed method are compared with existing Particle Swarm Optimization.

This paper focuses on reviewing the various Steganography techniques that have been reported by researchers and scientists in the literature. The motivation of this paper is to overview the past and current Steganography techniques to embed the Stego image which bypass the human visual system without being detected. The techniques which operate both on text and image are considered. The focus is also given for the use and future scope of these techniques. The techniques are reviewed on the parameters of security, peak signal to noise ratio of stego image, mean square error and the capacity of data that can be carried out on the network without being detected. The paper is divided in three major sections which are the implementation in spatial domain, frequency domain, adaptive or mixed technique

The importance of poultry is undeniable in human food chain and respiratory diseases threaten not only the safety of this food source but also its sufficiency. These threats could be controlled by monitoring system helps farmers and veterinarians to detect any changes in the birds health conditions. There are different sound processing techniques to decompose the target signal and extract appropriate features for detecting these changes. In this paper, a short review of chickens’ vocalization system, related studies in sound processing field their approaches and their achievements, introduction of a three-step approach for developing suggested algorithm, and a list of challenges facing such research are presented. Regarding the destructive effects of respiratory diseases on bird’s vocal system, a correlation between audio signal features and the type and severity of avian diseases is predictable. Among sound processing approach and techniques there is good conformity between wavelet transform abilities and the abilities are needed for such health monitoring system. Despite the existence of some challenges, some of which are listed in this paper and none is incredible, sound signal processing techniques can potentially play the role of a diagnosis tool and find valuable information about poultry health condition in the near future.

The Discrete Tchebichef Transform (DTT) based on orthogonal Tchebichef polynomials can be an alternative to Discrete Cosine Transform (DCT) for JPEG image compression standard. The properties of DTT are not only very similar to DCT; it has also higher energy compactness and lower computational advantage using a set of recurrence relation. In this, DTT is coupled with Set partitioning in hierarchical coding techniques (SPIHT).It has been demonstrated that, DTT requires lesser number of bits to encode the coefficients than DCT for a given compression ratio. We present SPIHT which provides better performance than EZW .Later median filter is added in order to increase the PSNR and improve the quality the taken input image.

This paper proposes an image hiding technique that exhibits good quality with higher embedding capacity. In this technique, both secret and cover images are divided into non overlapping blocks. The secret image is embedded into a cover image block by block using Range Normalization Technique. This technique exhibits advantages of high embedding capacity with less computational complexity. Compared with the existing algorithms, the quality of the stego and reconstructed image is found to be good.