Call for papers , Manuscript submission last date 30th April 2018. Send to ijete.editor@ijete.org

Volume1 Issue2 March 2014 Edition


John Peter K, Nigitha D
pp 33-39
Abstract: Conventional digital cameras have three sensors to capture the image which in turn costs high and requires more memory. In order to reduce the cost as well as the size, recent digital cameras are designed with single sensor to capture the image which samples only one color in each pixel. The missing color sample is reconstructed by interpolation and this method is called demosaicing. This paper uses a combined demosaicing approach to reduce the error in the edge region and improves the quality of the image by iteratively adaptive algorithm. In this paper, an initial interpolation is implemented by bilinear interpolation method. The missed green channel is reconstructed using color difference model. Successively, the red as well as the blue channels are reconstructed using hue model which reduces the error in the edge field. Meanwhile an iteratively adapted algorithm which duly incorporates edge sensing interpolation mechanism and luminance color difference model is used to improve the RGB channels. Finally, the red and blue channels are refined to improve the visual quality. Simulation results shows that the proposed algorithm is better than that of the existing algorithm in terms of visual quality and peak signal to noise ratio (PSNR).
Gyan Prakash Pal, Manishankar Gupta
pp 40-44
Abstract: Application specific integrated circuits (ASICs) are usually non standard integrated circuits that have been designed for a specific use or application. ASIC contains a very large part of the electronics circuits significantly integrated on a single IC. So Large No of components are found in one ASIC. It means that cost of ASICs Design is usually very high. Despite the High cost, ASICs are cost effective for applications where volume of production is very high. Due to improvement in Design Techniques, size of ASIC has increased from 5000 gates to over 100 million.
John Peter K, Renuka T,
pp 45-51
Abstract: A single sensor digital camera needs demosaicing to reconstruct a full color image. To show the high resolution image on the lower resolution display, it must then be downsampled. Demosaicing and down-sampling are the two steps that influence each other. First is, the color fringing artifacts present in demosaicing may be appear larger in subsequent down-sampling process. On the other hand, the detail removed during the down-sampling cannot be recovered in the demosaicing. So, it is very important to consider the demosaicing and down-sampling process simultaneously. In this paper, demosaicing and down-sampling are integrated together for single sensor bayer images using bicubic method, due to which the computational complexity is significantly reduced. The bicubic method is directly applied in Bayer domain, without the process of demosaicing. This method uses all its surrounding neighbor pixels to calculate the interpolated value so as to maintain the detail of the image. Simulation results demonstrate that, the proposed method achieves superior performance improvement in terms of computational complexity. As for visual quality, this proposed method is more effective in preserving high frequency details which leads to much sharper and clearer results.
R. Vijayalakshmi, K. Madhan Kumar
pp 52-58
Abstract: Image change detection is a process that analyzes images of the same scene taken at different times in order to identify changes that may have occurred between the considered acquisition dates. It has attracted widespread interest in the last decades, due to a large number of applications in diverse disciplines such as remote sensing, medical diagnosis and video surveillance. With the development of remote sensing technology, change detection in remote sensing images becomes more and more important. Among them, change detection in synthetic aperture radar (SAR) images exhibits some more difficulties than optical ones due to the fact that SAR images suffer from the presence of the speckle noise. However, SAR sensors are independent of atmospheric and sunlight conditions, which make the change detection in SAR images still attractive. This paper presents a survey and analysis of change detection approaches dealt by various techniques.