Yan Guoping,Pan Qing,Kang Yang.Research on a new Gaussian self-adaptive smoothing algorithm in image processing. Pro-ceedings of 2005 IEEE International Workshop on VLSI Designand Video Technology . 2005Research on a new Gaussian self-adaptive smoothing algorithm in image processing. Guoping Yan,...
In order to utilize the design into the battery operated devices it must be energy efficient. So the energy efficiency is the prime concern for today's VLSI design. In this paper, we propose a novel energy efficient approximate Gaussian Smoothing Filter that provides better results over the ...
How much smoothing depends on the size of the blur radius you choose. Each pixel will pick up a new value set to a weighted average of its surrounding pixels, with more weight given to the closer ones than to those farther away. The result of all this math is that the image is h...
In order to increase the signal-to-noise ratio (SNR) and smoothness of data required for the subsequent random field theory based statistical inference, some type of smoothing is necessary. Among many image smoothing methods, Gaussian kernel smoothing has emerged as a de facto smoothing technique ...
Compared with the NAFE (Druckmüller 2013), or wavelet-based routines, the MGN method is a simple one, and as Gaussian smoothing is a standard practice employed by most programming languages, can readily be programmed in a few lines of code. Without great rigour, we tested the efficiency of...
This paper identifies a notable deficiency in SDS, that it brings inconsistent and low-quality updating direction for the 3D model, causing the over-smoothing effect. To address this, we propose a novel approach called Interval Score Matching (ISM). ISM employs deterministic diffusing trajectories ...
Code Issues Pull requests step-by-step tutorial for optimizing a Gaussian image smoothing function opencv stack memory cache vector matrix array heap gaussian-blur Updated Mar 25, 2021 C++ jIdle / GaussianBlur-CUDA Star 16 Code Issues Pull requests An implementation of a parallel Gaussian ...
One typical smoothing routine, which has found favour in experimental mechanics, is the Gaussian Filter. The Gaussian filter is a 2-D convolution operator similar to the mean filter in image processing. The difference is in the kernel used for filtering. As the name suggests, the Gaussian ...
We discuss and numerically analyze the precision of three different alternatives for defining a discrete counterpart to the continuous Gaussian smoothing operator. This study is focused on low blur levels, that are crucial for the scale-space accuracy. Source Code An ANSI C source code implementation...
What is the role of Gaussian blur in image processing applications like OpenCV and Python? Gaussian blur is an essential tool in image processing applications like OpenCV and Python. It is often used fornoise reduction, image smoothing, and edge detection. By blurring the image using a Gaussian...