Low-light imaging on mobile devices is typically challenging due to insufficient incident light
coming through the relatively small aperture, resulting in low image quality. Most of the …

Due to immense urbanization and growing number of vehicles, parking space is scarce and
expensive in metropolitan cities. Drivers spend more time in searching and wandering for …

Nowadays, Intelligent Transportation Systems (ITS) technologies are exploring a wide range
of services such as freeway management, crash prevention & safety, driver assistance, and …

We propose a notion of double discrete wavelet transform (DDWT) that is designed to
sparsify the blurred image and the blur kernel simultaneously. DDWT greatly enhances our …

Since the refractive index of materials commonly used for lens depends on the wavelengths
of light, practical camera optics fail to converge light to a single point on an image plane …

In recent times the statistical computation techniques are gaining a lot of interest for
analyzing the behavior of various mathematical distributions. This paper derives the …

This paper describes a study aimed at comparing the real image sensor noise distribution to
the models of noise often assumed in image denoising designs. A quantile analysis in pixel …

The pixel values of images taken by an image sensor are said to be corrupted by Poisson
noise. To date, multiscale Poisson image denoising techniques have processed Haar frame …

Image denoising is an important issue in many real applications. Image denoising can be
considered to be recovering a signal from inaccurately and/or partially measured samples …

The Wiener filter is a classical approach for signal denoising and it is known to be the
optimum filter in the sense of the linear minimum mean square error (LMMSE). In general …