Design and analysis of vlsi architectures for image interpolation

Abstract

During recent days various research are going on Satellite image newlineprocessing including Remote Sensing, Agriculture, Disaster Management and newlinevarious other fields. Denoising and interpolation are two major tasks in Image newlineprocessing. These tasks assist screening and interpreting many scientific newlineimages such as medical images and satellite images. The proposed work named newlineas Fuzzy Logic-based Patch Selection in ANN B-Spline Bayesian Hyperprior newlineInterpolation VLSI Architecture (FLABBHI) is contrived in the indent of newlinedesigning a new VLSI architecture for faster satellite image denoising and newlineinterpolation. Non-native image sampling process for denoising is performed newlineusing Fuzzy Logic based patch selection and Artificial Neural Network-based newlineB-Spline Bayesian Hyperprior Interpolation (ABBHI) procedure is used for newlineinterpolation process. Fuzzy logic is used to improve the execution speed in the newlineprocess of selecting patch images from a collection of received images to newlineconstruct the image more similar to ground-truth image. For experimentation, newlineFLABBHI is designed for the target hardware kintex, used to construct and newlineevaluate the proposed method. Xilinx ISE is used to measure the performance newlinemetrics of the target FPGA. The interpolation is performed by ABBHI method newlineto improve the quality of the constructed image during the interpolation newlineprocess. A real-time mode is included in the proposed FLABBHI to buffer and newlineprocess incoming images from a satellite lively. This real-time mode is newlineequipped to run with the incremental rendering process which is used to get a newlinequick scanning in the beginning and more accurate reconstructed image over newlinethe time. newline