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20162019
most citedImage Reconstruction using Matched Wavelet Estimated from Data Sensed Compressively using Partial Canonical Identity Matrix

34 citations · 35 across the 3 of their papers we have counts for

collaborators

5 papers

eess.IV2019★ 1 cited

Impulse Denoising From Hyper-Spectral Images: A Blind Compressed Sensing Approach

Angshul Majumdar, Naushad Ansari, Hemant Aggarwal +1

In this work we propose a technique to remove sparse impulse noise from hyperspectral images. Our algorithm accounts for the spatial redundancy and spectral correlation of such ima…

eess.SY2017

M-RWTL: Learning Signal-Matched Rational Wavelet Transform in Lifting Framework

Naushad Ansari, Anubha Gupta

Transform learning is being extensively applied in several applications because of its ability to adapt to a class of signals of interest. Often, a transform is learned using a lar…

cs.CV2017

Statistical learning of rational wavelet transform for natural images

Naushad Ansari, Anubha Gupta

Motivated with the concept of transform learning and the utility of rational wavelet transform in audio and speech processing, this paper proposes Rational Wavelet Transform Learni…

cs.CV2017★ 34 cited

Image Reconstruction using Matched Wavelet Estimated from Data Sensed Compressively using Partial Canonical Identity Matrix

Naushad Ansari, Anubha Gupta

This paper proposes a joint framework wherein lifting-based, separable, image-matched wavelets are estimated from compressively sensed (CS) images and used for the reconstruction o…

cs.CV2016

Design of Image Matched Non-Separable Wavelet using Convolutional Neural Network

Naushad Ansari, Anubha Gupta, Rahul Duggal

Image-matched nonseparable wavelets can find potential use in many applications including image classification, segmen- tation, compressive sensing, etc. This paper proposes a nove…