A New Fast and Efficient Decision-Based Algorithm for Removal of High-Density Impulse Noises

By K. Srinivasan, D. Ebenezer. IEEE Signal Processing Letters, 2007

750 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Media Technology, Signal Processing

View Paper: https://www.semanticscholar.org/paper/0e894b5dc37f7bf983eca17e869615d16398d47d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. C. H. PremChand
2. Nor Ashidi Mat Isa
3. Esakkirajan Sankaralingam
4. Veerakumar Thangaraj
5. Kenny Kal Vin Toh
6. A. N. Subramanyam

In Media Technology

1. C. H. PremChand
2. Nor Ashidi Mat Isa
3. Esakkirajan Sankaralingam
4. Veerakumar Thangaraj
5. Kenny Kal Vin Toh
6. A. N. Subramanyam

In Signal Processing

1. C. H. PremChand
2. Nor Ashidi Mat Isa
3. Esakkirajan Sankaralingam
4. Veerakumar Thangaraj
5. Kenny Kal Vin Toh
6. A. N. Subramanyam

Citations in the corpus

• Removal of High Density Salt and Pepper Noise Through Modified Decision Based Unsymmetric Trimmed Median Filter (2011, methodology): “To overcome the above drawback, Decision Based Algorithm (DBA) is proposed [5].”
• Noise Adaptive Fuzzy Switching Median Filter for Salt-and-Pepper Noise Reduction (2010, methodology): “A binary noise mask will be created to mark the location of “noise pixels” by using or otherwise (1) where is the pixel at location with intensity , represents “noise-free pixels” to be retained from the noisy image while represents “noise pixels” subjected to the next filtering stage.”