Perceptual quality assessment plays a vital role in the visual communication systems owing
to the existence of quality degradations introduced in various stages of visual signal …

In this paper, we propose a novel explicit image filter called guided filter. Derived from a
local linear model, the guided filter computes the filtering output by considering the content …

Our goal is to reveal temporal variations in videos that are difficult or impossible to see with
the naked eye and display them in an indicative manner. Our method, which we call …

In this paper, we consider a typical image blind denoising problem, which is to remove
unknown noise from noisy images. As we all know, discriminative learning based methods …

Ride-hailing platforms (eg, Uber and Didi Chuxing) have become increasingly popular in
recent years. Efficiency has always been an important metric for such platforms. However …

Sparse representations of signals have drawn considerable interest in recent years. The
assumption that natural signals, such as images, admit a sparse decomposition over a …

In this paper, we present an efficient general-purpose objective no-reference (NR) image
quality assessment (IQA) framework based on unsupervised feature learning. The goal is to …

The focus of motion analysis has been on estimating a flow vector for every pixel by
matching intensities. In my thesis, I will explore motion representations beyond the pixel …

We present a simple and usable noise model for the raw-data of digital imaging sensors.
This signal-dependent noise model, which gives the pointwise standard-deviation of the …

We present a bottom-up aggregation approach to image segmentation. Beginning with an
image, we execute a sequence of steps in which pixels are gradually merged to produce …