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.
Brightness
Perception elicited by the luminance of an object.
Also see Gamma. Contrast
Also see Gamma. Equalize
Redistributes the brightness values of the pixels so that they more evenly represent the entire range of brightness levels. False Color
The sinusoidal palette is the most flexible option as it lets you adjust both wavelength and hue with the sliders. Gamma
Also see Brightness, Contrast. Gaussian Blur
Also see High Pass Filter, Low Pass Filter. Grayscale
Use to display the image in shades of gray. High Pass Filter
Also see Sharpen |
Invert
Pixel colors are replaced by their complementary colors. Brightness values are inverted. Kodalith
Also see Threshold. Low Pass Filter
Also see Gaussian Blur. Orientation
• Use to rotate or flip the image. Remove Noise
Also see Low Pass Filter to adjust the level of removal. Sharpen
Also see High Pass Filter. Threshold
Also see Kodalith. True Color
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.