Abstract:Agriculture is the backbone of Indian economy. Right around 70% individuals rely on it and shares major part of the Gross Domestic Product (GDP). Diseases in yields, is generally identified by the symptoms on the leaves which affects both quality and quantity of farming items. Impression of human eye is less grounded, to watch minute variations in the tainted portion of leaf. In this paper, we propose an Android application for naturally recognizing and ordering plant leaf infections. The project enables the u… Show more
Image interpolation is the process of increasing the number of pixels in an image such that the image is enlarged. Interpolation is commonly called as image upscaling, image zooming or image magnification. Linear Interpolation (LI) is fast, cost effective and has low power consumption. It also provides a better image quality. It requires only two pixels to calculate the interpolated pixel value. Applications of LI include computer graphics, medical imaging, remote sensing and multimedia applications (e.g. video teleconferencing). In this survey, various types of LI algorithms and their hardware architectures are analyzed and compared. These algorithms are implemented for different Very Large Scale Integrated Circuit (VLSI) based implementations such as Field Programmable Gate Array (FPGA) and Complementary Metal Oxide Semiconductor (CMOS) technologies. These interpolation algorithms are compared with respect to various parameters like Peak Signal to Noise Ratio (PSNR) and gate count. Based on the evaluation, it is observed that Adder Based Stepwise linear Interpolation (ABSI) method provides better image quality with reduced chip area.
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