Jonathan. Frech’s WebBlog

Mandelbrot Set III (#176)

Jonathan Frech

I wrote my first ever Mandelbrot Set renderer back in 2015 and used Python to slowly create fractal images. Over a year later, I revisited the project with a Java version which — due to its code being actually compiled — ran much faster, yet had the same clunky interface; a rectangle the user had to draw and a key they had to press to the view change to the selected region.
In this post, over half a year later, I present my newest Mandelbrot Set fractal renderer (download the .jar), written in Java, which both runs fast and allows a much more intuitive and immersive walk through the complex plane by utilizing mouse dragging and scrolling.
The still time demanding task of rendering fractals — even in compiled languages — is split up into a low quality preview rendering, a normal quality display rendering and a high quality 4K (UHD-1 at 3840 ⨉ 2160 pixels to keep a 16 : 9 image ratio) rendering, all running in seperate threads.

Rainbow spiral

The color schemes where also updated, apart from the usual black-and-white look there are multiple rainbow color schemes which rely on the HSB color space, zebra color schemes which use the iterations taken modulo some con­stant to define the color and a prime color scheme which tests if the num­ber of iterations taken is prime.

Zebra spiral

Apart from the mouse and keyboard control, there is also a menu bar (im­ple­ment­ed using Java’s JMenuBar) which allows for more conventional user input through a proper GUI.

Controls

Blue spiral

A bit more on how the three threads are im­ple­ment­ed.
Whenever the user changes the current view, the main program thread renders a low quality preview and immediately draws it to the screen. In the background, the normal quality thread (its pixel dimensions match the frame’s pixel dimensions) is told to start working. Once this medium quality rendering is finished, it is preferred to the low quality rendering and gets drawn on the screen.
If the user likes a particular frame, they can initiate a high quality rendering (4K UHD-1, 3840 ⨉ 2160 pixels( either by pressing “q” or selecting “HD ❯ Render current frame”. This high quality rendering obviously takes some time and a lot of processing power, so this thread is throttled by default to allow the user to further explore the fractal. Throttling can be disabled through the menu op­tion “HD ❯ Fast rendering”. There is also the op­tion to tell the program to exit upon having finished the last queued high definition rendering (“HD ❯ Quit when done”).
The high definition renderings are saved as .png files and named with their four defining constants. Zim and Zre define the image’s complex center, Zom defines the complex length above the image’s center. Clr defines the num­ber of maximum iterations.

Another blue spiral

Just to illustrate how resource intensive fractal rendering really is.
A 4K fractal at 3840 ⨉ 2160 pixels with an iteration depth of 256 would in the worst case scenario (no complex numbers actually escape) require $3840\cdot 2160\cdot 256\cdot 4=8493465600$$3840\cdot 2160\cdot 256\cdot 4=8493465600$ double multiplications. If you had a super-optimized CPU which could do one double multiplication a clock tick (which current CPUs definitely cannot) and ran at 4.00 GHz, it would still take that massively overpowered ma­chine $\frac{8493465600}{4\cdot 10^9}=2.123$$\frac{8493465600}{4\cdot 10^9}=2.123$ seconds.⁠¹ Larger images and higher maximum iterations would on­ly increase the gen­er­ated overhead.
The program’s source code is listed below and can also be downloaded (.java), though the compiled .jar can also be downloaded.

Green self-similarity

Unrelated to algorithmically generating fractal renderings, I recently found a weed which seemed to be related to the Mandelbrot Set and makes nature’s intertwined relationship with fractals blatently obvious. I call it the Mandel Weed.

Mandel Weed

Source code: MandelbrotSetExplorer.java


[1][2020-07-31] Of course, assuming the use of the naive algorithm used throughout this post.