Digital Image and Video Processing
With the growth of multimedia systems, sophisticated image and video processing techniques are now common. A typical multimedia user these days is likely to have several image and video editing tools at his or her disposal. The user can use these tools to perform several image processing tasks, such as image cropping, resizing, contrast enhancement, smoothing, sharpening, and edge detection, without knowing the intricate details of the underlying techniques. In a similar way, a video user can perform several tasks, such as video segmentation, joining multiple video clips with fade in or fade out, and zoom in and out. The purpose of this Chapter is to introduce to readers the working principles of a few select image and video processing techniques. Readers who would like to have a more detailed understanding of these techniques may consult standard textbooks on image and video processing –[5.
Unable to display preview. Download preview PDF.
- 1.A. K. Jain, Fundamentals of Digital Image Processing, Prentice Hall, 1989.Google Scholar
- 2.R. C. Gonzalez and R. E. Woods, Digital Image Processing, Addison Wesley, 1993.Google Scholar
- 3.W. K. Pratt, Digital Image Processing, John Wiley and Sons, Third Edition, 2001.Google Scholar
- 4.A. M. Tekalp, Digital Video Processing, Prentice Hall, New Jersey, 1995.Google Scholar
- 5.B. de Leeuw, Digital Cinematography, AP Professional, 1997Google Scholar
- 6.T. Wittenburg, Visual Special Effects Toolkit in C+ +, 1997.Google Scholar
- 7.M. K. Mandai, Wavelet Based Coding and Indexing of Images and Video, Ph.D. Thesis, University of Ottawa, Fall 1998.Google Scholar
- 8.B. Furht, S. W. Smoliar, and H. Zhang, Video and Image Processing in Multimedia Systems, Kluwer Academic Publishers, 1995.Google Scholar
- 10.A. Akutsu et al., “Video indexing using motion vectors,” Proc. of SPIE: Visual Communications and Image Processing, Vol. 1818, pp. 1522–1530, 1992.Google Scholar