PROJECT TITLE :

Gaussian Blurring-Invariant Comparison of Signals and Images - 2013

ABSTRACT:

We present a Riemannian framework for analyzing signals and images in a manner that is invariant to their level of blurriness, under Gaussian blurring. Using a well known relation between Gaussian blurring and the heat equation, we establish an action of the blurring group on image space and define an orthogonal section of this action to represent and compare images at the same blur level. This comparison is based on geodesic distances on the section manifold which, in turn, are computed using a path-straightening algorithm. The actual implementations use coefficients of images under a truncated orthonormal basis and the blurring action corresponds to exponential decays of these coefficients. We demonstrate this framework using a number of experimental results, involving 1D signals and 2D images. As a specific application, we study the effect of blurring on the recognition performance when 2D facial images are used for recognizing people.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE :Maximum Likelihood Decoding for Gaussian Noise Channels With Gain or Offset Mismatch - 2018ABSTRACT:Besides the omnipresent noise, different important inconveniences in communication and storage systems are shaped
PROJECT TITLE :Rectified Gaussian Scale Mixtures and the Sparse Non-Negative Least Squares Problem - 2018ABSTRACT:In this Project, we develop a Bayesian evidence maximization framework to unravel the sparse non-negative least
PROJECT TITLE :Particle Smoothing for Conditionally Linear Gaussian Models as Message Passing Over Factor Graphs - 2018ABSTRACT:During this Project, the fixed-lag smoothing problem for conditionally linear Gaussian state-space
PROJECT TITLE :Fast Low-Rank Bayesian Matrix Completion With Hierarchical Gaussian Prior Models - 2018ABSTRACT:The problem of low-rank matrix completion is taken into account in this Project. To use the underlying low-rank structure
PROJECT TITLE :Beyond A Gaussian Denoiser: Residual Learning Of Deep Cnn For Image Denoising - 2017ABSTRACT:The discriminative model learning for image denoising has been recently attracting considerable attentions due to its

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry