Multi-scale processing is essential in image processing and computer graphics. Halos are a
central issue in multi-scale processing. Several edge-preserving decompositions resolve …

Edge-preserving filtering is an essential tool for image processing applications and has
various types of filtering. High-dimensional Gaussian filtering (HDGF) supports a wide range …

Convolution is the inner product of the neighborhood signal and weights and plays a
fundamental role in image processing; thus, acceleration of convolution is essential. Among …

Gaussian filtering is a smoothing filter used in various tasks. The main disadvantage is the
dependence of the processing time on its kernel radius. One solution is using a sliding …

This paper proposes an efficient algorithm for edge-preserving filtering with multiple
guidance images, so-called multilateral filtering. Multimodal signal processing for sensor …

The discrete wavelet transform (DWT) is an essential tool for image and signal processing.
The edge-avoiding wavelet (EAW) is an extension for DWT to have edge-preserving …

We propose a domain-specific language for finite impulse response (FIR) filters using a
randomized algorithm. FIR filters such as Gaussian and bilateral filters are fundamental tools …

In this paper, we propose to speed up bilateral filtering by principal component analysis
(PCA)-based dimensionality compression method with constant-time bilateral filtering …

Edge-preserving filtering is an essential tool for image processing applications and has
various types of filtering. For real-time applications, acceleration of its speed is also …

K-means is a widely used clustering technique that seeks to minimize the squared distance
among points in the same cluster. K-means is an appealing clustering method in terms of …