The Image Processing window displays the filters available for your image. You can easily undo each filter and revert to your original image.
Drag the window to a more convenient location and resize it if you prefer.
To use this option on multiple images, see Image processing via the Organizer.
![]() Perception elicited by the luminance of an object.
Also see Gamma. ![]()
Also see Gamma. ![]() Redistributes the brightness values of the pixels so that they more evenly represent the entire range of brightness levels. ![]() The sinusoidal palette is the most flexible option as it lets you adjust both wavelength and hue with the sliders. ![]()
Also see Brightness, Contrast. ![]()
Also see High Pass Filter, Low Pass Filter. ![]() Use to display the image in shades of gray. ![]()
Also see Sharpen |
![]() Pixel colors are replaced by their complementary colors. Brightness values are inverted. ![]()
Also see Threshold. ![]()
Also see Gaussian Blur. ![]() • Use to rotate or flip the image. ![]() Also see Low Pass Filter to adjust the level of removal. ![]()
Also see High Pass Filter. ![]()
Also see Kodalith. ![]() Refers to the 24-bit RGB display mode. |
The range of image processing operations available depends on the type of image.
A true color (24-bit) image refers to an image in RGB display-mode.
Each of the three primary colors (red, green and blue) has a value that ranges from 0 to 255; this is the dynamic range of each color.
All images acquired from a color camera are true color images.
A paletted image refers to a compressed image with limited color information.
The colors available in the image belong to a restricted list of colors called a palette.
Although the program supports paletted images, we do not recommend their use as these images only offer limited data.
A grayscale image is composed of 256 shades of gray. Each pixel carries intensity information.
A monochrome image refers to a binary image composed of black and white:
Monochrome images consist of two distinct regions:
Splitting the image into foreground and background is called image segmentation.
Although the term monochrome is often used to classify cameras that capture grayscale images, a true monochrome image contains only black and white pixels with no shades of intermediate gray.