Wavelets are used in compression of images. Certain wave forms are very good at compressing certain types and portions of images (other wave forms are better at other image types (think of a brick wall compared to the branches of a tree!) The combination of appropriate wavelets can result in great image quality and small image sizes.
MultiResolution processing (like MrSid) is a way to make a very large image (often many Gigabytes ) presentable on equipment that cannot hold all that data in memory. An illustration is to take a bunch of detailed jpeg images of a scene (many hundred or thousand) and stitch them all together. For each zoom level generate a new jpeg so that when an observer is close in they are looking at a presnentation of one of the detailed images but when zoomed out to see 16 times as much surface they are presented with a jpeg made of 16 original images (but it has been compressed so that it does not take up more memory than one original).
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.
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)
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.
there are two types of image processing. 1.analog 2.digital.
L. Prasad has written: 'Wavelet analysis with applications to image processing' -- subject(s): Mathematics, Image processing, Wavelets (Mathematics)
Michael Loizides has written: 'Wavelets theory and applications in signal and image processing'
Arto Kaarna has written: 'Multispectral image compression using the wavelet transform' -- subject(s): Image processing, Wavelets (Mathematics)
Anthony Teolis has written: 'Computational signal processing with wavelets' -- subject(s): Mathematics, Signal processing, Wavelets (Mathematics)
Abhir H. Bhalerao has written: 'Multiresolution image 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.
Yves Meyer has written: 'Trois problemes sur les sommess trigonome triques' 'Oscillating patterns in image processing and nonlinear evolution equations' -- subject(s): Evolution equations, Nonlinear, Image compression, Mathematics, Nonlinear Evolution equations, Oscillations, Signal processing 'Ondelettes et algorithmes concurrents' -- subject(s): Wavelets (Mathematics)
S. G. Mallat has written: 'A wavelet tour of signal processing' -- subject(s): Mathematics, Signal processing, Wavelets (Mathematics)
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 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.