World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
5084
World Ranking
10863
National Ranking
118

Overview

Subrahmanyam Murala is affiliated with the Indian Institute of Technology Ropar in India. Their research focuses primarily on computer science and engineering, with significant contributions to subfields such as computer vision and pattern recognition, media technology, biomedical engineering, artificial intelligence, and safety, risk, reliability, and quality.

The researcher's main topics of work involve:

  • Image Enhancement Techniques
  • Advanced Image Processing Techniques
  • Advanced Vision and Imaging
  • Advanced Image Fusion Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Image and Signal Denoising Methods
  • Image Processing Techniques and Applications

Recent notable publications include:

  • "UW-GAN: Single-Image Depth Estimation and Image Enhancement for Underwater Images," 2021, IEEE Transactions on Instrumentation and Measurement
  • "Deep Underwater Image Restoration and Beyond," 2020, IEEE Signal Processing Letters
  • "S2DNet: Depth Estimation From Single Image and Sparse Samples," 2020, IEEE Transactions on Computational Imaging
  • "Aerial Image Dehazing with Attentive Deformable Transformers," 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • "An Unified Recurrent Video Object Segmentation Framework for Various Surveillance Environments," 2021, IEEE Transactions on Image Processing

Subrahmanyam Murala frequently publishes in venues such as:

  • IEEE Signal Processing Letters
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • IEEE Transactions on Emerging Topics in Computational Intelligence
  • Pattern Recognition
  • SSRN Electronic Journal

The researcher collaborates regularly with co-authors including Akshay Dudhane, Shruti S. Phutke, Prashant W. Patil, Santosh Kumar Vipparthi, and Ashutosh Kulkarni.

In addition to journal and conference publications, Subrahmanyam Murala has contributed to books published by Springer Science+Business Media, including two editions titled Computer Vision and Image Processing released in 2022.

Best Publications

  • Local Tetra Patterns: A New Feature Descriptor for Content-Based Image Retrieval

    S. Murala;R. P. Maheshwari;R. Balasubramanian

  • Local Mesh Patterns Versus Local Binary Patterns: Biomedical Image Indexing and Retrieval

    Subrahmanyam Murala;Q. M. Jonathan Wu

  • Local ternary co-occurrence patterns: A new feature descriptor for MRI and CT image retrieval

    Subrahmanyam Murala;Q. M. Jonathan Wu

  • Directional local extrema patterns: a new descriptor for content based image retrieval

    Subrahmanyam Murala;R. P. Maheshwari;R. Balasubramanian

  • UW-GAN: Single-Image Depth Estimation and Image Enhancement for Underwater Images

    Praful Hambarde;Subrahmanyam Murala;Abhinav Dhall

  • RescueNet: An unpaired GAN for brain tumor segmentation

    Shubhangi Nema;Akshay Dudhane;Subrahmanyam Murala;Srivatsava Naidu

  • LEARNet: Dynamic Imaging Network for Micro Expression Recognition

    Monu Verma;Santosh Kumar Vipparthi;Girdhari Singh;Subrahmanyam Murala

  • Color and Texture Features for Image Indexing and Retrieval

    Subrahmanyam Murala;Anil Balaji Gonde;R. P. Maheshwari

  • Directional Binary Wavelet Patterns for Biomedical Image Indexing and Retrieval

    Subrahmanyam Murala;R. P. Maheshwari;R. Balasubramanian

  • Local extrema co-occurrence pattern for color and texture image retrieval

    Manisha Verma;Balasubramanian Raman;Subrahmanyam Murala

  • Spherical symmetric 3D local ternary patterns for natural, texture and biomedical image indexing and retrieval

    Subrahmanyam Murala;Q.M. Jonathan Wu

  • Local Neighborhood Intensity Pattern–A new texture feature descriptor for image retrieval

    Prithaj Banerjee;Ayan Kumar Bhunia;Avirup Bhattacharyya;Partha Pratim Roy

  • Deep Underwater Image Restoration and Beyond

    Akshay Dudhane;Praful Hambarde;Prashant Patil;Subrahmanyam Murala

  • MSFgNet: A Novel Compact End-to-End Deep Network for Moving Object Detection

    Prashant W. Patil;Subrahmanyam Murala

  • RYF-Net: Deep Fusion Network for Single Image Haze Removal

    Akshay Dudhane;Subrahmanyam Murala

  • Aerial Image Dehazing with Attentive Deformable Transformers

    Unknown

  • CDNet: Single Image De-Hazing Using Unpaired Adversarial Training

    Akshay Dudhane;Subrahmanyam Murala

  • MRI and CT image indexing and retrieval using local mesh peak valley edge patterns

    Subrahmanyam Murala;Q. M. Jonathan Wu

  • S2DNet: Depth Estimation From Single Image and Sparse Samples

    Praful Hambarde;Subrahmanyam Murala

  • RI-GAN: An End-To-End Network for Single Image Haze Removal

    Akshay Dudhane;Harshjeet Singh Aulakh;Subrahmanyam Murala

  • Local Gabor maximum edge position octal patterns for image retrieval

    Santosh Kumar Vipparthi;Subrahmanyam Murala;S.K. Nagar;Anil Balaji Gonde

  • ColorandTexture Features forImageIndexing andRetrieval

    Subrahmanyam Murala;AnilBalaji Gonde

Frequent Co-Authors

Q. M. Jonathan Wu
Q. M. Jonathan Wu University of Windsor
Abhinav Dhall
Abhinav Dhall Monash University
Partha Pratim Roy
Partha Pratim Roy Indian Institute of Technology Dhanbad
Balasubramanian Raman
Balasubramanian Raman Indian Institute of Technology Roorkee
Vishal Monga
Vishal Monga Pennsylvania State University
Luc Van Gool
Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Bhabatosh Chanda
Bhabatosh Chanda Indian Statistical Institute
Radu Timofte
Radu Timofte University of Wurzburg
Raimondo Schettini
Raimondo Schettini University of Milano-Bicocca
A. N. Rajagopalan
A. N. Rajagopalan Indian Institute of Technology Madras

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 degree options can significantly enhance your flexibility and career prospects in technology and related fields. Studying Computer Science in the USA often leads to diverse job opportunities, and many students now consider earning a computer science degree online to save time and gain access to innovative curricula offered by top institutions.

Computer Science overlaps with multiple disciplines, opening doors to unique roles. For example, individuals interested in education and sustainability may pursue jobs with elementary education and environmental science degree, combining technical knowledge and teaching for impactful careers.

Engineering fields also present robust online options. Aspiring engineers can find affordable paths by enrolling in an environmental engineering bachelor's degree online or pursuing the cheapest mechanical engineering degree online. These programs pave the way for careers in sustainability, design, and advanced manufacturing.

Choosing an online degree not only provides convenience but also expands access to high-demand tech and engineering careers, fitting a variety of personal interests and long-term goals.

Best Scientists Citing Subrahmanyam Murala

Trending Scientists