At the crossing of the statistical and functional analysis, there exists a relentless quest for an
efficient image denoising algorithm. In terms of greyscale imaging, a plethora of denoising …

Single image haze removal has been a challenging problem due to its ill-posed nature. In
this paper, we propose a simple but powerful color attenuation prior for haze removal from a …

Images contain many levels of important structures and edges. Compared to masses of
research to make filters edge preserving, finding scale-aware local operations was seldom …

This paper presents a novel deep architecture, called neural regression forest (NRF), for
depth estimation from a single image. NRF combines random forests and convolutional …

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 …

We present a new approach for performing high-quality edge-preserving filtering of images
and videos in real time. Our solution is based on a transform that defines an isometry …

Guided image filter (GIF) is a well-known local filter for its edge-preserving property and low
computational complexity. Unfortunately, the GIF may suffer from halo artifacts, because the …

This paper presents an efficient technique for performing a spatially inhomogeneous edge-
preserving image smoothing, called fast global smoother. Focusing on sparse Laplacian …

Local windows are routinely used in computer vision and almost without exception the
center of the window is aligned with the pixels being processed. We show that this …

Programmers learning how to use an API or a programming language often rely on code
examples to support their learning activities. However, what makes for an effective ode …