Although feature selection for large data has been intensively investigated in data mining,
machine learning, and pattern recognition, the challenges are not just to invent new …

Human motion analysis has received a lot of attention in the computer vision community
during the last few years. This research domain is supported by a wide spectrum of …

Sparse representation based modeling has been successfully used in many image-related
inverse problems such as deblurring, super-resolution and compressive sensing. The heart …

By extracting image luminance channel and separating it into a base layer and a detail
layer, the Retinex theory has been widely adopted for tone mapping to visualize high …

The combination of nonlocal grouping and transformed domain filtering has led to the state-
of-the-art denoising techniques. In this paper, we extend this line of study to the denoising of …

Most data-driven methods used in condition monitoring and early faults alarming of large
turbomachines need to manually extract features for modeling, which inevitably introduces …

Division of focal plane (DoFP) polarimeters are composed of interlaced linear polarizers
overlaid upon a focal plane array sensor. The interpolation is essential to reconstruct …

During acquisition of an image, from its source, noise becomes integral part of it, which is
very difficult to remove. Various algorithms have been used in past to denoise images …

In the past decades, image denoising has been widely studied as a basic technology for
image processing. However, most denoising methods are designed for Gaussian noise …

This paper presents an extension of the Non-Local Means denoising method, that effectively
exploits the affine invariant self-similarities present in the images of real scenes. Our method …