Evidence Based Feature Selection and Collaborative Representation Towards Learning Based PSF Estimation for Motion Deblurring

Rohan Raju Dhanakshirur, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi; The IEEE International Conference on Computer Vision (ICCV), 2019, pp. 0-0

Abstract


The motion blur in an image is due to the relative motion between the camera and the scene being captured. Due to the degraded quality of the motion-blurred images, it is challenging to use them in different applications such as text detection, scene understanding, content-based image retrieval, etc. Typically, a motion-blurred image is modeled as a convolution between the un-blurred image and a Point Spread Function (PSF). Motion de-blurring is sensitive to the estimated PSF. In this paper, we propose to address the problem of motion deblurring by estimating PSF using a learning-based approach. We model motion blur as a function of length and angle and propose to estimate these parameters using a learning-based framework. It is challenging to find distinct features to precisely learn the extent of motion blur through deep learning. To address this, we model an evidence-based technique to select the relevant features for learning from a set of features, based on the confidence generated by combining the evidences using Dempster Shafer Combination Rule (DSCR). We propose to use Clustering and Collaborative Representation (CCR) of feature spaces to learn length and angle. We model the deblurred image as an MRF (Markov Random Field) and use MAP (maximum a posteriori) estimate as the final solution. We demonstrate the results on real and synthetic datasets and compare the results with different state of art methods using various quality metrics and vision tools.

Related Material


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[bibtex]
@InProceedings{Dhanakshirur_2019_ICCV,
author = {Raju Dhanakshirur, Rohan and Ashok Tabib, Ramesh and Patil, Ujwala and Mudenagudi, Uma},
title = {Evidence Based Feature Selection and Collaborative Representation Towards Learning Based PSF Estimation for Motion Deblurring},
booktitle = {The IEEE International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}