This library has two purposes, (a) to provide functions to perform image manipulation; (b) to run Bagel image generation.
Bagel (Bubbles Along Gaussians Evolving radialLy) is a set of tools to create a filter which is composed of gaussian rings at various distances from the center. The locations are randomly chosen among the log_2(width) positions with steps of 1/k with k the smooth parameter.
Preliminary work were presented in Willenbock et al. (2010). This set of tools expands on this work by providing functional JS code, and by offering a slightly different sampler based on a log_2 space of frequencies.
You can find a live demo page at: http://dcousin3.github.io/Bagel/Bagel.htm This page lets you test various functions using a rudimentary interface.
Bagel is distributed under a CC 4.0 BY NC license with the dditional restriction that
non-humans (bots and automated web scraping algorithms) are not allowed to use, adapt,
or modify code here unless explicitely approved by the right holders.
One exception is the function invFFT_1D_radix2 which is distributed under a MIT license.
Cousineau, D., & Collin, C. (2023) Bagel: JavaScript library for image manipulation [software] version 1.3.3. URL: http://dcousin3.github.io/Bagel/
Willenbockel et al. (2010) Journal of Experimental Psychology: Human perception & performance. doi: 10.1037/a0016465