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A bilateral filter is a local, non-iterative and non-linear technique which aids in removing the noise while preserving edges and details. This work proposes novel highly parallel-pipelined low complex bilateral filter architectures to achieve high throughput, high efficiency, self adaptability and reconfigurability in a real-time noisy environment. The design implements true bilateral filter by adaptively...
Noise in the image are random variations in intensity due to intrinsic or extrinsic sources. This paper proposes a high throughput Fixed Point Discrete Kalman filter (DKF) architecture for denoising images with additive white Gaussian noise (AWGN) at real-time. A linearized state model based on neighbor pixel similarity is used for improving the PSNR of the noisy image. A 5-stage two parallel bi-functional...
Tracking of cloud characteristics helps in detecting cyclones which accounts for disastrous winds and heavy landfall on low lying coastal areas. Dense Motion Estimation is one of the most computationally intensive part of any tracking system. In this work we propose an efficient and high throughput hardware implementation of the Dense Horn-Schunck(DHSOF) algorithm to accelerate the cloud motion analysis...
This work presents an FPGA based scalable fixed point QRD architecture based on Givens Rotation algorithm. The proposed QRD core utilizes an efficient pipelined and unfolded 2D MAC based systolic array architecture with dynamic partial reconfiguration (DPR) capability. An improved LUT based Newton-Raphson method is proposed for finding square root and inverse square root which helps in reducing the...
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