# Image

Image is a collection of colors.

What color can do is also done in the image, and it can create the image-only state.

So being able to deal with color is like saying that you can handle images.

Let's look at some of the filters that can handle images.

# Filter

An image filter is a process that produces a completely different image by performing a special operation on one image.

# GrayScale

Adjust Min: 0 Max:100 Current Value: 100

Making gray tones, leaving only contrast

# Contrast

Amount Min: -100 Max:100 Current Value: 50

# Saturation

Amount Min: 0 Max:100 Current Value: 30

# Brightness

Amount Min: 0 Max:100 Current Value: 50

# Noise

Adjust Min: 1 Max:100 Current Value: 50

# Tint

red Min: 0 Max:1 Current Value: 0.1

green Min: 0 Max:1 Current Value: 0.1

blue Min: 0 Max:1 Current Value: 0.1

# Gradient

Color List

Scale Min: 10 Max:1000 Current Value: 40

Please refer to Gradient

# Sepia

Amount Min: -100 Max:100 Current Value: 100

TIP

https://en.wikipedia.org/wiki/Sepia_(color)

# Negative

Amount Min: 0 Max:100 Current Value: 50

# Threshold

Adjust Min: 0 Max:100 Current Value: 120

Amount Min: 0 Max:100 Current Value: 100

TIP

Thresholding is the simplest method of image segmentation. From a grayscale image, thresholding can be used to create binary images (Shapiro, et al. 2001:83).

https://en.wikipedia.org/wiki/Thresholding_(image_processing)

# Hue

Hue Color Min: 0 Max:360 Current Value: 120

# Shade

Red Min: 0 Max:10 Current Value: 3

Green Min: 0 Max:10 Current Value: 1

Blue Min: 0 Max:10 Current Value: 1

# Invert

# Sharpen

# Emboss

Amount Min: 0 Max:50 Current Value: 20

# Blur

Amount Min: 3 Max:100 Current Value: 5

# Stack Blur

Radius Min: 3 Max:100 Current Value: 5

# Motion Blur

Amount Min: 0 Max:100 Current Value: 20

# Laplacian

Amount Min: 0 Max:100 Current Value: 100

# Sobel

Amount Min: 0 Max:100 Current Value: 100

TIP

https://en.wikipedia.org/wiki/Sobel_operator

# Histogram

What is the current status of the image?

# Gray Histogram

Left is dark, right is bright

# Red Histogram

# Green Histogram

# Blue Histogram

# All Histogram

# Palette

You can pick the color you use the most in the image.

10 colors

pick count

TIP

Internally, use the [K-means] (https://en.wikipedia.org/wiki/K-means_clustering) algorithm to extract the final color.

This is useful for extracting colors from a pixel image.

refer: pixabay.com