activity
20172020
most citedAn Unsupervised Generative Neural Approach for InSAR Phase Filtering and Coherence Estimation

40 citations · 129 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CV2020★ 2 cited

Depth-Based Selective Blurring in Stereo Images Using Accelerated Framework

Subhayan Mukherjee, Ram Mohana Reddy Guddeti

We propose a hybrid method for stereo disparity estimation by combining block and region-based stereo matching approaches. It generates dense depth maps from disparity measurements…

cs.CV2020★ 10 cited

Adaptive Dithering Using Curved Markov-Gaussian Noise in the Quantized Domain for Mapping SDR to HDR Image

Subhayan Mukherjee, Guan-Ming Su, Irene Cheng

High Dynamic Range (HDR) imaging is gaining increased attention due to its realistic content, for not only regular displays but also smartphones. Before sufficient HDR content is d…

cs.CV2020★ 15 cited

A hybrid algorithm for disparity calculation from sparse disparity estimates based on stereo vision

Subhayan Mukherjee, Ram Mohana Reddy Guddeti

In this paper, we have proposed a novel method for stereo disparity estimation by combining the existing methods of block based and region based stereo matching. Our method can gen…

eess.IV2020★ 7 cited

CNN-Based Real-Time Parameter Tuning for Optimizing Denoising Filter Performance

Subhayan Mukherjee, Navaneeth Kamballur Kottayil, Xinyao Sun +1

We propose a novel direction to improve the denoising quality of filtering-based denoising algorithms in real time by predicting the best filter parameter value using a Convolution…

eess.IV2020★ 5 cited

CNN-based InSAR Coherence Classification

Subhayan Mukherjee, Aaron Zimmer, Xinyao Sun +2

Interferometric Synthetic Aperture Radar (InSAR) imagery based on microwaves reflected off ground targets is becoming increasingly important in remote sensing for ground movement e…

eess.IV2020★ 18 cited

CNN-based InSAR Denoising and Coherence Metric

Subhayan Mukherjee, Aaron Zimmer, Navaneeth Kamballur Kottayil +3

Interferometric Synthetic Aperture Radar (InSAR) imagery for estimating ground movement, based on microwaves reflected off ground targets is gaining increasing importance in remote…