Color Effects

Blur

The blur filter softens image by averaging nearby pixels. It eliminates noise, but image becomes less distinct.

Source image	Blur

Gaussian Blur

The blur filter softens image by averaging nearby pixels. It eliminates noise, but image becomes less distinct. When using gaussian blur you may specify horizontal and vertical radius of softening.

Source image	Gaussian Blur

Sharpen

The Sharpen filter focuses image by increasing color difference of nearby pixels.

Source image	Sharpen

Unsharpen Mask

Sharpens image, comparing it with blured copy.

Source image	Unsharpen Mask

Emboss

Imitates stamped image made from gray metal plate.

Source image	Emboss

Watercolor

Imitates image painted by watercolor.

Source image	Water color

Smoothing noise

This filter eliminates noise in image. Under 'noise' here we mean artifacts that may appear when dusted or scratched image, or document of low quality is scanned.

Source image	Smoothing noise

Maximum

This filter increases brightness of pixels in all color channels. Image becomes lighter and more fuzzy. This effect also eliminates noise as small dark dots on light background.

Source image	Maximum

Minimum

This filter reduces brightness of pixels in all color channels. Image becomes darker and more fuzzy. This effect also eliminates noise as small light dots on dark background.

Source image	Minimum

Brightness

Changes image brightness.

Source image	Brightness

Contrast

Changes image contrast.

Source image	Contrast

Auto Contrast

Automatically fixes image contrast.

Source image	Auto Contrast

Gamma correction

Corrects image gamma characteristics.

Source image	Gamma correction

Color balance

Corrects image color ballance.

Source image	Color balance

Negative

Inverts image, i.e. changes brightness value for its pixels to additional for each color channel. That means that if for some pixel at some channel value was X points, after appling this effect it will be 255-X.

Source image	Negative

Mosaic

Imitates a mosaic image.

Source image	Mosaic