World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
5173
World Ranking
10357
National Ranking
112

Overview

Bhabatosh Chanda is affiliated with the Indian Statistical Institute in India. Their research primarily spans the fields of Computer Science and Engineering, with a significant focus on Computer Vision and Pattern Recognition.

Their scholarly output includes contributions to several subfields such as Media Technology, Computational Mechanics, Computer Graphics and Computer-Aided Design, and Atmospheric Science. Their work often relates to advanced topics including Image Retrieval and Classification Techniques, Generative Adversarial Networks and Image Synthesis, 3D Shape Modeling and Analysis, Advanced Image Fusion Techniques, Image Processing and 3D Reconstruction, Computer Graphics and Visualization Techniques, and Image Enhancement Techniques.

Some of their recent papers are:

  • DARecNet-BS: Unsupervised Dual-Attention Reconstruction Network for Hyperspectral Band Selection, 2020, IEEE Geoscience and Remote Sensing Letters
  • Image Restoration by Learning Morphological Opening-Closing Network, 2020, Mathematical Morphology - Theory and Applications
  • Digital Restoration of Cultural Heritage With Data-Driven Computing: A Survey, 2023, IEEE Access
  • LGVTON: a landmark guided approach for model to person virtual try-on, 2022, Multimedia Tools and Applications
  • LGVTON: A Landmark Guided Approach to Virtual Try-On, 2020, arXiv (Cornell University)

Frequent publication venues for their work include:

  • arXiv (Cornell University)
  • IEEE Geoscience and Remote Sensing Letters
  • IEEE Access
  • Mathematical Morphology - Theory and Applications
  • Multimedia Tools and Applications

Their collaborations include recurrent coauthors such as:

  • Sanchayan Santra
  • Debapriya Basu Roy
  • Diganta Mukherjee
  • Arkaprabha Basu
  • Sandip Paul

Best Publications

  • Multiscale morphological segmentation of gray-scale images

    S. Mukhopadhyay;B. Chanda

  • Writer-independent off-line signature verification using surroundedness feature

    Rajesh Kumar;J. D. Sharma;Bhabatosh Chanda

  • A multiscale morphological approach to local contrast enhancement

    Susanta Mukhopadhyay;Bhabatosh Chanda

  • A simple and efficient algorithm for multifocus image fusion using morphological wavelets

    Ishita De;Bhabatosh Chanda

  • Multi-focus image fusion using a morphology-based focus measure in a quad-tree structure

    Ishita De;Bhabatosh Chanda

  • Enhancing effective depth-of-field by image fusion using mathematical morphology

    Ishita De;Bhabatosh Chanda;Buddhajyoti Chattopadhyay

  • A MULTI-SCALE MORPHOLOGIC EDGE DETECTOR

    Bhabatosh Chanda;Malay K. Kundu;Y. Vani Padmaja

  • Fusion of 2D grayscale images using multiscale morphology

    Susanta Mukhopadhyay;Bhabatosh Chanda

  • A Model-Based Shot Boundary Detection Technique Using Frame Transition Parameters

    P. P. Mohanta;S. K. Saha;B. Chanda

  • Topology preservation in 3D digital space

    Punam K. Saha;Bidyut Baran Chaudhuri;Bhabatosh Chanda;D. Dutta Majumder

  • An edge preserving noise smoothing technique using multiscale morphology

    S. Mukhopadhyay;B. Chanda

  • CBIR using perception based texture and colour measures

    S.K. Saha;A.K. Das;B. Chanda

  • A fast algorithm for skew detection of document images using morphology

    Amit Kumar Das;Bhabatosh Chanda

  • Super Resolution Image Reconstruction Through Bregman Iteration Using Morphologic Regularization

    Pulak Purkait;Bhabatosh Chanda

  • A writer-independent off-line signature verification system based on signature morphology

    Rajesh Kumar;Lopamudra Kundu;Bhabatosh Chanda;J. D. Sharma

  • A simple and effective table detection system from document images

    Sekhar Mandal;S. P. Chowdhury;Amit K. Das;Bhabatosh Chanda

  • On edge and line linking with connectionist models

    J. Basak;B. Chanda;D. Dutta Majumder

  • Learning a Patch Quality Comparator for Single Image Dehazing

    Sanchayan Santra;Ranjan Mondal;Bhabatosh Chanda

  • Iris recognition using multiscale morphologic features

    Saiyed Umer;Bibhas Chandra Dhara;Bhabatosh Chanda

  • Design of vector quantizer for image compression using self-organizing feature map and surface fitting

    A. Laha;N.R. Pal;B. Chanda

Frequent Co-Authors

Bidyut B. Chaudhuri
Bidyut B. Chaudhuri Indian Statistical Institute
Nikhil R. Pal
Nikhil R. Pal Indian Statistical Institute
Amit Das
Amit Das Leibniz-Institut für Polymerforschung Dresden e. V.
Soumitro Banerjee
Soumitro Banerjee Indian Institute of Science Education and Research Kolkata
Malay K. Kundu
Malay K. Kundu Indian Statistical Institute
Punam K. Saha
Punam K. Saha University of Iowa
Radu Timofte
Radu Timofte University of Wurzburg
Luc Van Gool
Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
A. N. Rajagopalan
A. N. Rajagopalan Indian Institute of Technology Madras
Vishal Monga
Vishal Monga Pennsylvania State University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online study options in Computer Science can open doors for learners from diverse backgrounds. Many online schools that accept low gpa give students a second chance to pursue their education, even if their previous academic record was less than perfect.

If you are eager to enter the industry quickly, consider a fast track computer science degree. These accelerated programs shorten the typical timeline, allowing graduates to meet market demand for tech skills sooner.

Computer science knowledge also opens up interdisciplinary roles. For example, combining your expertise with environmental science offers rewarding opportunities. To learn more, explore jobs with elementary education and environmental science degree or pursue an environmental engineer degree online.

Ultimately, today’s online programs support a variety of learning needs and career aspirations—whether you want to advance quickly, start over, or branch into emerging interdisciplinary fields.

Best Scientists Citing Bhabatosh Chanda

Trending Scientists