A Review on Multiresolution Mosacing

A Review on Multiresolution Mosacing

  ijett-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2013 by IJETT Journal
Volume-4 Issue-8                      
Year of Publication : 2013
Authors : Payun S. Tembhurne

Citation 

Payun S. Tembhurne. "A Review on Multiresolution Mosacing". International Journal of Engineering Trends and Technology (IJETT). V4(8):3643-3646 Aug 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group.

Abstract

Image mosaicing is the act of combining two or more images.It aims to combine images such that no obstructive boundary exists around overlapped regions. Emphasis is given on to create a mosaic image that contains as little distortion as possible from the o riginal images, as well as preserving the general appearance of the original image.Multiresolution representation technique is an effective method for analyzing information contents of signals, as it processes the signals individually at finer levels, to give more accurate results that contains much less distortion. The most obvious advantage of multiresolution representations is that they provide a possibility for reducing the computational cost of various image processing operations. For example, they can be used to perform coarse feature detection operations, such as spot or bar detectors, by applying the corresponding fine feature detection operations at a higher level.The information contained in a signal is distributed into the levels of the resolution . Local information may be better processed in the high resolution levels, while global information may be processed in the low resolution levels. Working in a cross - resolution manner can help to process each type of information of the signal.this paper di scusses some of the multiresolution representation like Laplacian pyramid, Gaussian pyramid and Wavelet transform that are helpfull to perform image mosacing with some facts and figures.

References

[1]. Burt and Adelson, Laplacian pyrami, IEEE Transactions on Communications , vol. 31, April 1985.
[2] M. S. Su, W. L. Hwang, and K. Y. Cheng, Analysis of ImageMosaic, IEEE Transactions on Image Processing , vol. 13, July 2004.
[3]A.N.Akansu,R.A.Hadded,”MultiresolutionSignalRepresentation”,Academi c Press,1992.
[4]T.chang,C.J Kuo”Texture analysis and classificationwith tree structure wave let Transform”IEEE Transaction on ImageProcessing,vol.2 429 - 441,1993.

Keywords
Low PasFilter(LPF)Gaussion Pyramid(.GP)Laplacian Pyramid(, LP)