Image Processing classify as three type. (1) Low level image processing (noise removal, image sharpening, contrast enhancement) (2) Mid level image processing (segmentation) (3) High level image processing (analysis based on output of segmentation)
Image processing is the method of processing data in the form of an image. Image processing is not just the processing of image but also the processing of any data as an image. It provides security.
The four major areas of computer operations in digital image processing is contrast enhancement. The second is remove the blur from pictures and smooth out graininess. The third would be magnifying, and rotating an image. Finally the image is compressed for storage.
Edges with high contrast that have shadows after compression (like rings when you drop a pebble into a pond).
Brightness and contrast represent a way to adjust an image. They come from the display technology, being common controls in all monitors. The color brightness/contrast are similar to the grayscale counterparts, in most cases being applied to all channels (even if from the physical point of view this is wrong - a transformation into HSI with adjustment of the I component would be correct -. For a grayscale image, brightness represents an image adjustment where a constant value is added to all pixel values. The contrast adjustament is a multiplication of the pixel values with a constant. Most of the image processing programs use a different scale, for example from 0 to 10. If you wish to experiment with it, you can do it photoshop, gimp. To apply a brightness/contrast correction to a bunch of images is easier with an image converter like AZImage - see related link.
image processingIn electrical engineering and computer science, image processing is any form of signal processing for which the input is an image, such as photographs or frames of video; the output of image processing can be either an image or a set of characteristics or parameters related to the image. Most image-processing techniques involve treating the image as a two-dimensional signal and applying standard signal-processing techniques to it.
In electrical engineering and computer science, analog image processing is any image processing task conducted on two-dimensional analog signals by analog means (as opposed to digital image processing).
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.
Its name specifies definition. To get image from any source especially hardware based any source is called as image acquisition in the image processing because without image receiving/acquisition, the processing on the image is not possible. It is the first step in the workflow.
image processing,photographing in different wavelengths is the unique capability in it.
there are two types of image processing. 1.analog 2.digital.
John C. Russ has written: 'Computer-assisted microscopy' -- subject(s): Data processing, Image processing, Microscopy, Optical pattern recognition 'The Image Processing Handbook' 'Journal of Computer-Assisted Microscopy' 'Fractal surfaces' -- subject(s): Surfaces (Physics), Fractals, Measurement 'The Image Processing Handbook, Fifth Edition (Image Processing Handbook)' 'The image processing handbook' -- subject(s): Handbooks, manuals, Handbooks, manuals, etc, Image Processing, Computer-Assisted, Image processing 'Materials Science'