Functions and Data Defintion in RasterPS 1.0

RasterPS allows to process digital Images. The common Image File Formats are supported.
Fundamental Functions like Histogram, Conversion, Point Operations, Filtering are implemented, and Geometric Transformations, ImageAnalysis will follow.
The Algorithms are taken from the Book Series "Principles of Digital Image Processing" by Wilhelm Burger and Mark J. Burge, Springer.
The Functionality will be enlarged in the next months.

Quick Start

The use of the program is very easy (Installation at the end of this document):

Just load an Image File (Menu File - Open).
-> The Image is displayed on the left side.
Click Menu Basics - Histogram
-> The Histograms are displayed on the right side.
Click Menu Basics - Conversion - To Binary
-> The Image is converted to a Binary Image and displayed.

The Functionality provides the following Topics:

1: Basics (Histogram, Statistics, Conversion)
2: Point Operations (Brightness, Contrast, etc.)
3: Filtering (Linear, Non-Linear, Edge, Morphological)
4: Geometric Transformations (Affine, Projective, Non-Linear)
5: Image Analysis (future Version)
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To Overview

Import and Export

The most common Image File Formats are supported. The Images are displayed in a scrollable Area.
Image File Formats to import and export are:

Windows Bitmap (*.bmp);
GIF (*.gif);
JPEG (*.jpg) (*.jpeg);
PNG (*.png);
TIFF (*.tif) (*.tiff);
Windows Metafile (*wmf).

Indexed (Paletted) Images are converted into non-indexed ones.
The Image Info is displayed on the right side.
The Menu File - New deletes the current Image and its Results.

To Overview

Basics

The Basic Functions allow to calculate Histograms, Statistical Data, Image Conversion and to step back to the previous Image.
Usually Images are represented as RGB (Red, Green, Blue) Triplets = RGB Color Space.

Toggling the ComboBox at top right the Color Space for calculating the Histogram and Statistical Data can be chosen.
The Histograms are computed and displayed for each Color Channel, Grayscale Images have three identical Color Channels.
As Statistical Data the Mean Value, the Standard Deviation, the Scewness, the Excess and the Entropy of each Color Channel are displayed.
The Image Conversion allows to generate a Grayscale Image or a Binary Image.
The Step Back Function displays the Image just before the last Image Processing Function.

The following Color Space Conversions are also available:

RGB <-> CMY (Cyan, Magenta, Yellow);
RGB <-> HSV (Hue, Saturation, Value);
RGB <-> HLS (Hue, Luminance, Saturation);
RGB <-> YUV (Luminance, Diff Red, Diff Blue);
RGB <-> YCrCb (Luminance, Croma Red, Croma Blue).

To Overview

Point Operations

Point Operations allow to calculate fundamental Image Processing Functionality.
In Detail they are:

Image Inversion.
Change of Brightness: the Value of Change may be entered (-255 ... 0 ... 255).
Auto Contrast.
Histogram Equalization.
Gamma Correction: the Gamma Value may be entered (0.25 ... 1.0 ... 4.0).
Quantization: the Number of Steps may be entered (1 ... 32 ... 256).
Desaturation: the Desaturation Factor may be entered (0.0 ... 0.5 ... 1.0).

To Overview

Filtering

Filtering uses Filters of different Type: Linear Filters, Non-Linear Filters, Edge Operators, Morphological Filters.

Smoothing Linear Filters:

Box Filter
Weighted Box Filter
Gauss Filter

Difference Filters:

Egde Sharpening using Laplace Filter: the Sharpening Factor may be entered (0.25 ... 1.0 ... 4.0)
Unsharp Masking using Gauss Filter: the Sharpening Factor may be entered (0.25 ... 1.0 ... 4.0)

Non-Linear Filters: