How to resolve the algorithm Color quantization step by step in the Kotlin programming language
How to resolve the algorithm Color quantization step by step in the Kotlin programming language
Table of Contents
Problem Statement
Color quantization is the process of reducing number of colors used in an image while trying to maintain the visual appearance of the original image. In general, it is a form of cluster analysis, if each RGB color value is considered as a coordinate triple in the 3D colorspace. There are some well know algorithms [1], each with its own advantages and drawbacks. Task: Take an RGB color image and reduce its colors to some smaller number (< 256). For this task, use the frog as input and reduce colors to 16, and output the resulting colors. The chosen colors should be adaptive to the input image, meaning you should not use a fixed palette such as Web colors or Windows system palette. Dithering is not required. Note: the funny color bar on top of the frog image is intentional.
Let's start with the solution:
Step by Step solution about How to resolve the algorithm Color quantization step by step in the Kotlin programming language
The provided code in Kotlin uses the process builder class to execute a sequence of commands to manipulate an image using the ImageMagick command-line utility. Here's a step-by-step explanation of what the code does:
-
It starts by creating a process builder (pb) to execute the
convert
command, which is part of ImageMagick. Theconvert
command is used to perform various image processing tasks, including resizing, cropping, and color manipulation. -
The process builder is configured to execute the
convert
command with several arguments:Quantum_frog.png
: This is the input image file that will be processed.-dither None
: This option disables dithering, which is a technique used to smooth out transitions between colors in images with a limited color palette.-colors 16
: This option specifies that the output image should use a color palette with only 16 colors.Quantum_frog_16.png
: This is the output image file that will be generated.
-
The
pb.directory(null)
line sets the working directory for the process to be the current working directory. -
The
proc = pb.start()
line starts the process and assigns the result to theproc
variable. -
The
proc.waitFor()
line waits for the process to finish executing. -
After the first process finishes, a second process builder (pb2) is created to execute another
convert
command. This time, the command is used to generate a histogram of the colors used in theQuantum_frog_16.png
image. The histogram will show the number of pixels that have each color. -
The
pb2
process builder is configured with the following arguments:Quantum_frog_16.png
: This is the input image file that will be processed.-format %c
: This option specifies that the output should be in a format that shows the color count for each color.-depth 8
: This option specifies that the output should be in 8-bit depth, which means that each color will be represented by a single byte.histogram:info:-
: This option specifies that the output should be written to the standard output stream.
-
The
pb2.directory(null)
line sets the working directory for the process to be the current working directory. -
The
pb.redirectOutput(ProcessBuilder.Redirect.PIPE)
line redirects the output of the process to a pipe, which allows us to read it later. -
The
proc2 = pb2.start()
line starts the process and assigns the result to theproc2
variable. -
The
br = BufferedReader(InputStreamReader(proc2.inputStream))
line creates a buffered reader to read the output of the process. -
The
while (true) { ... }
loop reads lines from the buffered reader until there are no more lines to read. -
Inside the loop, each line is read and printed to the standard output stream, along with a color number. The color number is incremented with each line.
-
After the loop, the buffered reader is closed.
When you run this code, it will execute the two convert
commands in sequence. The first command will generate a 16-color version of the Quantum_frog.png
image, and the second command will generate a histogram of the colors used in the output image. The histogram will be printed to the standard output, showing the number of pixels that have each color.
Source code in the kotlin programming language
// Version 1.2.41
import java.io.BufferedReader
import java.io.InputStreamReader
fun main(args: Array<String>) {
// convert 'frog' to an image which uses only 16 colors, no dithering
val pb = ProcessBuilder(
"convert",
"Quantum_frog.png",
"-dither",
"None",
"-colors",
"16",
"Quantum_frog_16.png"
)
pb.directory(null)
val proc = pb.start()
proc.waitFor()
// now show the colors used
val pb2 = ProcessBuilder(
"convert",
"Quantum_frog_16.png",
"-format",
"%c",
"-depth",
"8",
"histogram:info:-"
)
pb2.directory(null)
pb.redirectOutput(ProcessBuilder.Redirect.PIPE)
val proc2 = pb2.start()
val br = BufferedReader(InputStreamReader(proc2.inputStream))
var clrNum = 0
while (true) {
val line = br.readLine() ?: break
System.out.printf("%2d->%s\n", clrNum++, line)
}
br.close()
}
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