… used which consist of impulse detection and noise filtering. In this paper, an efficient decision
tree based denoising technique and a high performance architecture for FPGA prototyping …

… architecture to drastically reduce impulse noise in pictures leveraging edge preserving filter.
… By making use of a decision tree, the noisy pixels are determined by the detector alongside …

… An improved decision-based algorithm is proposed in this study, … decision tree impulse
detector and an HWACWM filter. The filter first detects whether the pixel is a noisy pixel or a noise-…

… with a decision tree algorithm in [29] to denoise corrupted images. Also, neural network-…
architecture was introduced to recognize images affected by random-valued impulse noise, …

… Our objective in this study is to create a real-time architecture that can restore, as accurately
… Algorithm (ACCPPRA) [44] based on a heuristic decision tree, the Adaptive Weighted Mean …

… architecture. In order to enhance the robustness of the image, the removal of impulse noise is
… One of the simple and powerful form of multivariable analysis is decision tree. The complex …

… In recent years, convolutional neural networks (CNNs), which benefits from the deep
architecture and the parallel computation ability of GPU, have attracted much attention for …

… to efficiently remove impulse noise. We have tested our proposed method by initially adding
noise of … The components used in the decision tree-based system to detect impulse noise as …

… convolutional neural network (CNN) architecture was also utilized to restore RVIN-corrupted …
biomedical images in real time [17]. A decision tree based random impulse noise identifier …

… (DIINoR) algorithm and its hardware architecture for real-time impulse noise removal
from the corrupt USG image are proposed in this paper. In this decision-based …