Smart and real-time image dehazing on mobile devices

Optimized contrast enhancement for real-time image and video dehazing

A fast and optimized dehazing algorithm for hazy images and videos is proposed in this work. Based on the observation that a hazy image exhibits low contrast in general, we restore the hazy image by enhancing its contrast. However, the overcompensation of the degraded contrast may truncate pixel values and cause information loss. Therefore, we formulate a cost function that consists of the cont...

Real-time Bus Information on Mobile Devices

We report on a real-time transit vehicle information system which delivers content to Internet-enabled mobile devices, such as cell phones. The content is in the form of predicted arrival/departure times for buses at user-selectable geographic locations within a transit region. We discuss how the physical restrictions of such devices, e.g., screen size and paucity of keyboard options, influence...

Real-time facial animation on mobile devices

We present a performance-based facial animation system capable of running on mobile devices at real-time frame rates. A key component of our system is a novel regression algorithm that accurately infers the facial motion parameters from 2D video frames of an ordinary web camera. Compared with the state-of-the-art facial shape regression algorithm [1], which takes a two-step procedure to track f...

A Review on “Implementation of Real-time Image and Video Processing, and AR on Mobile Devices”

This paper reviews some improved implementations of real-time image and video processing on Face Detection and Augmented Reality fields to be used on mobile platforms. A review of different techniques to surmount the constraints of lower memory, processing speed, connectivity, etc., on hand held devices. In the section of Face Detection, we review some optimization steps, e.g. Key frame and Loo...

Real-Time Video Dehazing Based on Spatio-Temporal MRF