Ads
related to: digital unsharp masking machine for painting
Search results
Results From The WOW.Com Content Network
Unsharp masking allows the photographer to sharpen areas that have become blurred in the original negative, due to long shutter speed/exposure time, or from using a wide aperture/"fast" lens. When creating the unsharp mask, extra space or diffusing material is added between the image and the mask to produce the necessary blur.
Unsharp masking applied to lower part of image. Unsharp masking (USM) is an image sharpening technique, first implemented in darkroom photography, but now commonly used in digital image processing software. Its name derives from the fact that the technique uses a blurred, or "unsharp", negative image to create a mask of the original image. The ...
Chasys Draw IES 3.24 was released with a re-designed user interface, powered by a higher performance graphics core and better memory management. A history palette was introduced, as was a new screen capture function with video capability. The layer palette received drag-drop capability and unsharp masking got yet another upgrade.
SilverFast HDR contains the functionality of SilverFast Ai Studio for 48-bit raw data, such as defining output size and resolution, auto-adjusting of highlights and shadows, three-part histogram, gradation curves, selective color correction, unsharp masking, color cast removal slider, color separation, and CMYK-preview.
The Unsharp Mask tool is considered to give more targeted results for photographs than a normal sharpening filter. [83] [84] The Selective Gaussian Blur tool works in a similar way, except it blurs areas of an image with little detail. GIMP-ML is an extension for machine learning with 15 filters. [85]
In image processing, a kernel, convolution matrix, or mask is a small matrix used for blurring, sharpening, embossing, edge detection, and more. This is accomplished by doing a convolution between the kernel and an image. Or more simply, when each pixel in the output image is a function of the nearby pixels (including itself) in the input image ...