Pixel Manipulation

The image manipulation processes in the Pixel Manipulation Control Panel are used to manipulate your image document by calculating or comparing each pixel and its surrounding pixels against parameters for each particular process. All eight features under the Pixel Manipulation Control Panel may be performed by clicking the button associated with its function. Clicking a button opens a dialog [box] which allows you to define the parameter before the manipulation takes place.

Blur

This image manipulation process gives a blur effect to your image document. When you click the Blur on the control panel, a dialog box opens to allow definition of the blur value of your image document in percentages. To adjust the value, use either the edit box or the slider control.

Blur is applied to an image document with 100 % blur value

Sharp

This image manipulation process gives a sharpened effect to your image document, the image becomes clearer. When you click Sharp on the control panel, a dialog box opens to allow definition of the Sharp value in percentages. To adjust the value, use either the edit box or the slider control.

Sharp applied to an image

Dithering

This image manipulation process reduces the colour information of your image document. When you click Dithering, a dialog box opens to allow definition of the dithering parameters. There are 2 parameters in the dialog box. The first is to define the pixel number of the image document. The second is to determine whether the dithering image document is in grayscale level or not. You can determine the pixel number either by using the slider control or by using the edit box.

Dithering applied to an image document with 3 pixels and a colourised result

Pixellate

Thisis an image manipulation process that converts your image document into tiny blocks of identical pixels which give a pixellate effect on your image document. When you click Pixellate, a dialog box opens to allow definition of the pixel block size. Two parameters define the pixel block size. The first defines the number of pixels vertically and the second defines the number of pixels horizontally. The pixel number may be determined by using either the slider control, the edit box or the spin button.

Pixellate applied to an image document where the box pixel size is 5 pixels horizontally and 7 pixels verticals.

Stripping

This is an image manipulation process where an array of white lines is applied to your image document either vertically or horizontally to give a stripping effect. The width of the line is equal to the width of the gap between two lines.

When you click Stripping, a dialog box opens to allow definition of stripping parameters. The two stripping parameters define the width and the direction of the line (e.g. horizontal or vertical).

Stripping applied to an image document where the line width is 5 pixels horizontally

Emboss

This image manipulation process converts your image document into an emboss-like image document.

When you click Emboss, a dialog box opens allowing definition of emboss parameters. The three Embossing parameters are pixel range, elevation and Azimuth. You can define the value of any parameter by using either the slider control, the edit box or the spinning button.

 Emboss applied to an image document

Edge Detection Homogen and Matrix Convolution

Edge Detection is an image manipulation process that converts your image document into a collection of lines by marking points in the image at which the intensity changes sharply.

The last two buttons on the Pixel Control Panel are dedicated to Edge Detection Homogen and Matrix Convolution. When you click Edge Detection Homogen, a dialog box consisting of 1 parameter opens which defines the edge detection threshold. Its range is from 1 to 256.

Edge Detection Homogen applied to an image document

When you click Edge Detection Matrix Convolution, a dialog box opens which enables you to choose the edge detection mask, the threshold factor, and the edge detection direction. There are currently 5 type of edge detection mask which define the matrix convolution to calculate the detection. The threshold ranges from 0 to 256. Three options, horizontal, vertical and both directions, allow ypu to define the direction of the edge detection or how the points are marked in your image document;.

Edge Detection Convolution Matrix dialog box

Edge Detection Convolution Matrix based on Sobel mask applied to an image document

Edge Detection Convolution Matrix based on Kirsch mask applied to an image document.