Image restoration means improving the image to match the original image.
Image enhancement means improving the image to show some "hidden" details / bringing into evidence some part of the image. It only applies locally and is not necessarily constrained to match the original real image.
1. Image acquisition 2. Image restoration/enhancement 3. Image segmentation 4. Image interpretation
In general, the more you compress the less you enhance.
Competence and image enhancement helps in the enhancement of quality with addressing the social devaluation.
there is no difference. ;)
Robert P. Loce has written: 'Enhancement and restoration of digital documents' -- subject(s): Computer algorithms, Documents in optical storage, Image reconstruction, Experimental design
image larger than object
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.
Owning an image or the copyright to an image are the same thing. When you hold the copyright to an image it is yours to do with whatever you will, and you can decide who has permission to use it or not. There is no difference.
1. Image acquisition is the first process. Generally the image acquisition stage involves preprocessing such as scaling.2. Image enhancement is among the simplest and most area. The idea behind enhancement techniques is to bring out detail that is obscured or simply to highlight certain features of interest in an image.3. Image restoration is ain area that also deals with improving the appearance of an image. Unlike enhancement, which is subjective, image restoration is objective. Image restoration techniques tend to be based on mathematical or probabilistic models of image degradation. Enhancement on the other hand, is based on human subjective preferences regarding what constitutes a good enhancement result4. Color image processing5. Wavelets are the foundation for representing images in various degrees of resolution.6. Compression deals with techniques for reducing the storage required to save an image or the bandwidth required to transmit it.7. Morphological processing deals with tools for extracting image components that are useful in the representation and description of shape.8. Segmentation procedures partition an image into its constituent parts or objects.9. Representation and description almost always follow the output of a segmentation stage, which usually is raw pixel data, constituting either the boundary of a region. Representation first deals with whether the data should be represented as a boundary or as a complete region. Choosing representation is only part of the solution for transformation raw data into a form suitable for subsequent computer processing. A method must also be specified for describe the data so that features of interest are highlighted. Description or feature slection deals with extracting attributes that result in some quantitative information of interest or are basic for differentiation one class of objects from another.10. Object recognization
The difference between 32bit windows and 64bit windows is the resolution of the image and the higher the bit the better the image.
the difference between refraction and reflection is that in refraction light bends and in reflection it is reflected
Virtual is not what a human eye can see enot like a reael image