Assistant Professor
Dept. of Computer Science and Engineering
Supreme Knowledge Foundation Group of Institutions
Under, Maulana Abul Kalam Azad University of Technology, Govt. of WB
Selected Papers
[1] Bandyopadhyay, A., Deb, K., Chakraborty, A., Das, A., & Bag, R. (2022). A Neighborhood Impact Driven K-Medoid Clustering and Fuzzy Logic Blended Approach for High Density Impulse Noise Detection and Removal. Traitement du Signal, 39(5), 1737-1749. https://doi.org/10.18280/ts.390532 (IF: 2.29) (SCIE)
[2] Bandyopadhyay, A., Deb, K., Das, A., & Bag, R. (2021). High Density Impulse Noise Removal from Color Images by K-means Clustering based Detection and Least Manhattan Distance-oriented Removal Approach. International Journal of Advanced Computer Science and Applications, 12(10). https://doi.org/10.14569/IJACSA.2021.0121067 (IF:1.16) (SCOPUS)
[3] Bandyopadhyay, A., Deb, K., Das, A., & Bag, R. (2020). Impulse noise removal by k-means clustering identified fuzzy filter: a new approach. Turkish Journal of Electrical Engineering and Computer Sciences, 28(5), 2838-2862. https://doi.org/10.3906/elk-1910-34 (IF: 0.85) (SCIE)
[4] Banerjee, S., Bandyopadhyay, A., Mukherjee, A., Das, A., & Bag, R. (2017). Random valued impulse noise removal using region based detection approach. Engineering, Technology & Applied Science Research, 7(6), 2288-2292. (ESCI)
[5] Bandyopadhyay, A., Banerjee, S., Das, A., & Bag, R. (2015). A relook and renovation over state-of-art salt and pepper noise removal techniques. IJ Image, Graphics and Signal Processing, 9, 61-69. https://doi.org/10.5815/ijigsp (IF: 0.722) (SCOPUS)
[6] Banerjee, S., Bandyopadhyay, A., Bag, R., & Das, A. (2015, November). Sequentially combined mean-median filter for high density salt and pepper noise removal. In 2015 IEEE International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) (pp. 21-26). IEEE. (IEEE Conference)
[7] Bandyopadhyay, A., Deb, K., Das, A., & Bag, R. (2020, September). Manhattan Distance based Nearest Vicinity Guided Filter Design for High Density Salt and Pepper Noise Removal. In 2020 IEEE 1st International Conference for Convergence in Engineering (ICCE) (pp. 184-188). IEEE. (IEEE Conference)
[8] Bandyopadhyay, A., Deb, K., Das, A., & Bag, R. (2021). Random Valued Impulse Noise Detection Using Fuzzy c-Means Clustering Technique. In Smart Computing Techniques and Applications (pp. 397-405). Springer, Singapore. (SCOPUS)
[9] Basu, S., & Bandyopadhyay, A. (2025). Density Based Clustering Approach Combined with Fuzzy Logic for Elimination of Random Valued Impulse Noise. Journal of The Institution of Engineers (India): Series B, 1-14, Springer. (SCOPUS)
[10] Basu, S., & Bandyopadhyay, A. (2024). Birch Clustering Approach for Detection of Random Valued Impulse Noise. Journal of The Institution of Engineers (India): Series B, 1-9. (SCOPUS)