… presents a decision tree based method (DTBM) to remove the random valued impulse noise
with … This paper presents an effective and systematic architecture to remove random valued …

… an efficient architecture for removal of random-valued impulse noise from captured image. A
… In this paper the random valued impulse noise is mainly used with uniform distribution has …

… Denoising Method (DTBDM) and its VLSI architecture introduced to avoid the damage on
noise-free pixels and also for the removal of high density impulse noise. Decision Tree Based …

… 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 …

… decision tree based approach for the impulse noise detection, followed by an edge preserving
image filter … a deeply pipelined parallel hardware architecture for our proposed algorithm …

… Two hardware architectures for removal of impulse noise in [5,15] and 3 × 3 and 5 × 5
median filters are used for comparison. As shown in the Table I, the proposed method has better …

… 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-…

… In Section 2, the proposed method for removal of impulse noise, including a software
algorithm and its hardware architecture, is explained. Section 3 is dedicated to simulation results, …

… et al proposed a hardware architecture for detection and restoration of the random-valued …
to detect and remove impulse noises in MR images. For local image blocks different structures …