Image Transmission Approach Research Articles

Image transmission using Airy array beam.

An approach for image transmission based on the Airy array beam is proposed and demonstrated. The Airy array beam is generated by employing the product of a special cubic phase and a shift function at its Fourier plane. The image can be modulated into this Airy array beam by overlapping it at the Fourier plane of this beam. After passing through a certain distance, the image information can be recovered from the modulated Airy array beam by Fourier transform. Compared to the existing Airy array beam, higher integrity and image information quality can be achieved by increasing the width of the obstacle that blocks the propagation of these beams. The capability mentioned above is experimentally verified. Moreover, to research the diffraction of this Airy array beam in the scattering environment, the propagation process of this Airy array beam in a scattering medium is theoretically derived and numerically studied. The corresponding experiment demonstrates that the propagation process matches well with the numerical study and simulation.

A Watermark Approach for Image Transmission: Implementation of Channel Coding Technique with Security

In this paper an approach for secured digital image transmission with watermark is being proposed. The tremendous growth in technology for various applications demand secured communications across the wireless channels. Secured image transmission is the one of the prominent process in digital communication applications. A watermark is embedded in to the image data that is to be protected from unauthorized users. The cryptographic algorithms chosen for secured transmission led to the need for hardware implementation. In the process of secured image transmission turbo encoder is proposed for error correction. The proposed approach is realized in terms of hardware for the digital logic size, area and power consumption using Xilinx 14.2 software. Synthesizing and implementation of verilog code on the target device xc6slx150-2fgg484 for timing constraints, device utilization and performance details.
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An approach for Secured Image Transmission: A High Capacitive and Confidentiality based Image Steganography using Private Stego-Key

In the proposed paper an approach for image transmission with security and also improvement of the gray-scale (8-bit image) image flexible stenographic system using LSB approach. In this process a secret key of 80 bits is applied while embedding the message into the cover image. To provide high security and also confidentiality of the data a key stego-key is applied. The proposed method the information bits are embedded adaptively into the cover-image pixels. With this method a high embedding capacity in terms of hiding the data is provided and also better imperceptibility is also achieved. The major advantage of this method verifies by the Security method of Digital Signature. It is to be verified whether the attacker has made a trials to change the Secret information in the present inside the stego-image which is intended to be kept secret throughout the communication process. In this technique the embedding process to hide the message data present in the transformed spatial domain of the cover image and makes use of a simple Exclusive-OR operation based on Security checking method of verifying the signature digitally by using key size value of 140 bits is used to check the integrity from the stego-image. The confidential data which is embedded can be retrieved from stego-images. The security level is enhanced by using the stego key and by adaptive steganography data inconspicuousness is improved.

Implementation of Cryptographic Approach for Image Transmission with Security

In this paper an approach for secured transmission of images and its implementation is being proposed. The proposed method proves to be better compared to various presently existing cryptographic algorithms. The basic application of this algorithm is to provide secured transmission of digital images for various multimedia usages. These encrypted messages can further be used for compact storage of information of patient details which are very much confidently for patient centric approach. The results of the implementation show that the computation time is faster comparatively and it is highly secured and also efficient method for image transmission. The input for demonstration is taken as Lena image on which the Elliptic Curve Cryptography method is applied. The major advantage of this approach is reduced key size.

Optimized Secure Image Transmission approach Lossless Secret Image Recovery Based on Secret Fragmented Mosaic Images

The prominence of the digital image processing is growing in the field of security, as now s days the transfer of images from one entity to another entity using internet as source of medium is increased. The digital image transmission has advanced applications in the field of security such as security related the confidentiality of medical databases, preventing leakages from the military databases, privacy protection the enterprise related documents and online document storage systems. Although lot of research has been done on secure image transmission but still it too has some unresolved issues such as leakages while transmissions and loss of the confidentiality is another drawback. An innovative approach is implemented in this paper and the main idea of the proposed work is create meaningful secret fragment mosaic image system and the important implementation in the proposed work is the secret fragment mosaic image size is same as that of preselected target image which gives scope to provide more payload capacity. The generation of the mosaic image is the resultant of the block fragments of the selected secret image and the mosaic image in the process is looks alike of the target image which is used as the source to hide the secret image by successfully transforming the color characteristics of the secret image similar to the blocks of the target image. Finally the simulation results show the performance in terms of presenting the meaningful secure image transmission technique for the lossless recovery and the necessary data is embedded into mosaic image for the recovery of the securely transmitted secret image.

A Novel Energy Efficient Object Detection and Image Transmission Approach for Wireless Multimedia Sensor Networks

Energy efficient object detection and image transmission are one of the key issues in wireless multimedia sensor networks (WMSN). Recent approaches in the WMSN propose in-node object detection and tracking algorithms. However, a little effort has been made to effectively detect object presence and absence in images in the WMSN. Since object detection has a direct relation with image transmission, therefore effective object detection algorithm would provide a reduction in the false transmission of image information. In this paper, a novel object presence model and an image transmission scheme are proposed for the WMSN. This scheme uses the transmission of image segments rather than a complete image. It guarantees in-node energy conservation and minimal image content transmission to the sink node. The proposed scheme is evaluated based on in-node energy consumption and reconstructed image peak signal-to-noise ratio (PSNR). Simulation results show that the proposed approach saves 95% of the node energy with the received image PSNR of 46 dB as compared with other state-of-the-art approaches.

Intelligent Image compression in Multi-agent system

When using wireless sensor networks for real-time data transmission, some critical points should be considered. Restricted computational power, memory limitations, narrow bandwidth and energy supplied present strong limits in sensor nodes. Therefore, maximizing network lifetime and minimizing energy consumption are always optimization goals. To reduce the energy consumption of the sensor network during image transmission, an energy efficient image compression scheme is proposed. The image compression scheme reduces the required memory. To address the above mentioned concerns, in this paper we describe an approach of image transmission in WSNs , taking advantage of JPEG2000 still image compression standard and using MATLAB . These features were achieved using techniques: the Discrete Wavelet Transform (DWT), and Embedded Block Coding with Optimized Truncation (EBCOT). Performance of the proposed image compression scheme is investigated with respect to image quality and energy consumption. Simulation results are presented and show that the proposed scheme optimizes network lifetime and reduces significantly the amount of required memory by analyzing the functional influence of each parameter of this distributed image compression algorithm.

Depth-color based 3D image transmission over wireless networks with QoE provisions

The deployment of 3-D image techniques is one of the most promising fields among the development of new applications for natural image scenes. Driven by urgent demands from industry and users, 3-D image technology has received significant research attention in recent years. 3D image streaming gives users an extra dimension of visual sense that greatly improves the liveliness and joyfulness of user experience. However, they also raise new challenges (e.g., bandwidth and energy efficiency) especially in achieving satisfactory Quality of Experience (QoE) performances. QoE has become critical multimedia quality metrics determining whether a potential multimedia application or service is successful or not. In this paper, we propose a QoE-driven wireless 3D image transmission scheme with depth-color source coding adaptations according to the wireless network conditions. Specifically, our contribution includes: (1) developing a patch-pixel based source coding scheme for 3D image transmission; (2) proposing a 3D image quality model; (3) and developing a quality-driven 3D image transmission approach based on the quality model. Experimental results demonstrate that the proposed techniques can significantly improve the QoE of 3D image over wireless networks.

New adaptive and progressive image transmission approach using function superpositions

We present a novel approach to adaptive and progressive image transmission, based on the decomposition of an image into compositions and superpositions of monovariate functions. The monovariate functions are iteratively constructed and transmitted, one after the other, to progressively reconstruct the original image: the progressive transmission is performed directly in the 1D space of the monovariate functions and independently of any statistical properties of the image. Each monovariate function contains only a fraction of the pixels of the image. Each new transmitted monovariate function adds data to the previously transmitted monovariate functions. After each transmission step, by using the updated monovariate functions the image is reconstructed with an increased resolution. Finally, once all the monovariate functions have been transmitted, the original image is reconstructed exactly. This approach is characterized by its flexibility and robustness to packet loss: any numbers of intermediate transmissions and reconstructions are possible, and in case of packet loss, the global appearance of the transmitted image is preserved. Moreover, the intermediate images can be reconstructed at any resolution, and for any number of intermediate reconstructions, the original image will be exactly reconstructed. Finally, the quantity of data to be transmitted only depends on the image size and is independent of the number of intermediate reconstructions. Our main contributions are the modification of the decomposition scheme defined by the Kolmogorov superposition theorem to enable multiresolution image reconstructions and its application for progressive image transmission, using successively increasing resolutions. We illustrate this approach on several images and evaluate the reconstruction quality, decomposition flexibility, and error resilience during transmission.

A Fast Digital Image Transmission Approach in the Distributed Maritime Training System

In the Distributed Maritime Training system, the real-time transmission of large-scale 3D scene is one of the main problems. In recent years, fractal image compression techniques have gained more interests because of their capability to achieve high compressive ratios while maintaining very good quality of the reconstructed image. Since fractal image compression is computationally very expensive, some researchers tried to parallelize the encoding algorithm. Spiral Architecture is a relatively new and powerful approach to general-purpose machine vision system. On this novel architecture, Spiral Addition and Multiplication achieve image processing. In this paper, a novel implement based on Spiral Architecture will be presented, keeping the compressive ratio of fractal image compression at maximal to fast the speed of image transmission in the Distributed Maritime Training System.

Energy-efficient image transmission in sensor networks

In this paper, we propose two image transmission schemes driven by energy efficiency considerations in order to be suitable for Wireless Sensor Networks (WSNs). The first one is an open-loop image transmission scheme while the second one is closed-loop. Both schemes are based on wavelet image transform and semi-reliable transmission to achieve energy conservation. Wavelet image transform provides data decomposition in multiple levels of resolution, so the image can be divided into packets with different priorities. Semi-reliable transmission enables priority-based packet discarding by intermediate nodes according to their battery's state-of-charge. Such an image transmission approach provides a graceful trade-off between the image quality played out and the sensor nodes' lifetime. An analytical study in terms of dissipated energy is performed to compare our two schemes to a fully reliable image transmission scheme. Since image processing is computationally intensive and operates on a large data set, the cost of the wavelet image transform is considered in the energy consumption analysis. Results show up to 70% and 90% reductions in energy consumption with the open-loop and closed-loop schemes, respectively, compared to a non-energy-aware one, with a guarantee for the image quality to be lower-bounded.

Energy-Efficient Transmission of Wavelet-Based Images in Wireless Sensor Networks

We propose a self-adaptive image transmission scheme driven by energy efficiency considerations in order to be suitable for wireless sensor networks. It is based on wavelet image transformand semireliable transmission to achieve energy conservation. Wavelet image transform provides data decomposition in multiple levels of resolution, so the image can be divided into packets with different priorities. Semireliable transmission enables priority-based packet discarding by intermediate nodes according to their battery's state-of-charge. Such an image transmission approach provides a graceful tradeoff between the reconstructed images quality and the sensor nodes' lifetime. An analytical study in terms of dissipated energy is performed to compare the self-adaptive image transmission scheme to a fully reliable scheme. Since image processing is computationally intensive and operates on a large data set, the cost of the wavelet image transform is considered in the energy consumption analysis. Results show up to 80% reduction in the energy consumption achieved by our proposal compared to a nonenergy-aware one, with the guarantee for the image quality to be lower-bounded.