M.Sc. Purbaditya Bhattacharya

Visiting Address
Building H3
Holstenhofweg 85
22043 Hamburg
Department of Electrical Engineering
Signal Processing and Communications
P.O. Box 70 08 22
22008 Hamburg

  • Convolution Neural Network Applications

  • Denoising
  • Super-resolution


  • Video Stabilization



  • Objekt Detection
  • Whale (Harbour Porpoise) Classification



Supervised Thesis

Mahesh Sulugodu Manjunatha – Semantic Segmentation using Convolutional Neural Networks, Master Thesis

Chetan Mara – Ground Truth Data Generation for Image Segmentation with CNN, Student Project

Shashikant Kulkarni – Preprocessing Methods for Image Segmentation with CNN, Student Project

Savan Rangeggowda – Scene Segmentation with Convolutional Neural Networks, Master Thesis

Carl Henning Cabos – Application of Convolutional Neural Networks for Pitch Detection, Master Thesis

Chetan Mara –  A Convolutional Neural Network for Video Stabilization, Master Thesis

Shashikant Kulkarni – Convolutional Neural Networks for Image and Video Compression, Master Thesis

Pascal Hampel  –  Classification of EMNIST Dataset with a Convolutional Neural Network, Bachelor Student Project

Aswin Sampath Kumar – Neural Network Architectures for the Calculation of Psychoaccoustic Metrics, Master Thesis

Pascal Hampel  –  Comparison of State-of-the-art Object Detectors for Airborne Use-cases, Bachelor Thesis

Subhashini Madhavan – Image Denoising using Deep Learning, Student Project

Elif Göksügür – Individualization of HRTFs with CNNs Based on Anthropometric Features, Master Thesis

Cem Aygün – Classification of Handwritten Numbers and Letters using Convolutional Neural Network, Student Project

Praveen Krishna Murthy – Deep Learning based Pitch Detection, Master Thesis

Prathima Krishna Subramanian – Noise Level Estimation in Images with Convolutional Neural Network, Student Project

Arunachalam Thirunavukkarasu – Speech Denoising using Convolutional Neural Network, Student Project


Multimedia Signal Processing


P. Bhattacharya, U. Zölzer: Attentive Inception Module based Convolutional Neural Network for Image Enhancement, Digital Image Computing: Techniques and Applications (DICTA), Melbourne, Australia, 29. Nov – 2. Dec, 2020

P. Bhattacharya, P. Nowak, U. Zölzer: Optimization of cascaded parametric peak and shelving filters with backpropagation algorithm, 23rd International Conference on Digital Audio Effects (DAFx), Vienna, Austria, 9-11 September, 2020.

P. Bhattacharya, U. Zölzer: Convolutional Neural Network with Inception Blocks for Image Compression Artifact Reduction, International Joint Conference on Neural Networks (IJCNN-WCCI), Glasgow, Scotland, 19-24 July, 2020.

P. Bhattacharya, U. Zölzer: A Convolutional Neural Network with Two-Channel Input for Image Super-Resolution, International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, 14-19 July, 2019.

P. Bhattacharya, S.Wulf, U. Zölzer: Detection of Harbour Porpoise with Low-level Feature Extraction and Deep Learning based Classification, 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), Las Palmas de Gran Canaria, Spain, 26-29 November, 2018.

P. Bhattacharya, J.Riechen, U. Zölzer: Infrared Image Enhancement in Maritime Environment with Convolutional Neural Networks, 13th International Conference on Computer Vision Theory and Applications, VISAPP (VISIGRAPP), Madeira, Portugal, 27-29 January, 2018.

P. Bhattacharya, G. Simkus, C. de Obaldía, A. Kelm, U. Zölzer: Convolutional Neural Networks for Digital Signal Processing (Poster), LSA2017 – Lübeck Summer Academy on Medical Technology, July 2017, Lübeck, Germany.

P. Rivera Benois, P. Bhattacharya, U. Zölzer: Derivation Technique for Headphone Transfer Functions Based on Sine Sweeps and Least Squares Minimization, Proceedings of the 45th International Congress and Exposition on Noise Control Engineering, INTER-NOISE, Hamburg, Germany, 21-24 August, 2016.



Letzte Änderung: 10. October 2020