Gaussian Blur blurs image but you can use it to soften mask edges and to create different effects like Glamour glow.
The signal processing hardware can be used for image processing also. DSP processors like TMS 6713 can be used in image processing also. The hardware is required for image capture also.
It is something composed from pixels or vectors (if vector graphic processing is used by the application).
unsharp mask is bad name for filter that is used for sharpening image. It is sharpening tool, people use it to sharpen image details.
A mask is a black and white image of the same dimensions as the original image (or the region of interest you are working on). Each of the pixels in the mask can have therefore a value of 0 (black) or 1 (white). When executing operations on the image the mask is used to restrict the result to the pixels that are 1 (selected, active, white) in the mask. In this way the operation restricts to some parts of the image. Some images like icons have a mask stored in them that is used when computing which parts of the image are transparent or not. There are two types of masks: layer mask which is pixel depended (described above) and vector mask which is a path that clips out the contents of the layer and is pixel independent. It is much easier to edit vector mask by the way using path anchor points.
A kernel is defined as a small central part of something. In the case of image processing it is a tool used to edit the image by sharpening, blurring , embossing it, and so on.
A software platform that is used in payment processing.
There are a wide variety of software companies that specialize in image processing. For example, RegiStax, Media Cybernetics, and Tameran are all companies which develop this software.
The mean square error is used as part of the digital image processing method to check for errors. Two MSEs are calculated and then compared to determine the accuracy of an image.
First, the image contains a nice mixture of detail, flat regions, shading, and texture that do a good job of testing various image processing algorithms. It is a good test image! Second, the Lena image is a picture of an attractive woman. It is not surprising that the (mostly male) image processing research community gravitated toward an image that they found attractive.
Matlab is useful in image processing in order to convert the image into a matrix and make several operations on it.
There is always a confusion among the newbies about the difference between Image Processing and Computer Graphics. Unless specifically mentioned , Computer Graphics is all about Synthesizing a new image from Geometry , Lighting parameters , Materials and Textures . The Emphasis is on Digital Image Synthesis. Image Processing is the process of manipulating an image acquired through some device . The image too often will be acquired from photographs,scanners , medical equipments. The emphasis is on Analysis and Enhancement of the image. Computer Vision is an area where Image Analysis is used a lot. Raster Operations dominate in the case of image processing. In the case of Computer Graphics , you will mix vector and raster operations to generate the final image.