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CS4520 Final Project

CS4520 Final Project. Form into groups (1 to 3 students per group) Choose a topic from the following list Fast bilateral filtering for noise removal/ image zooming Image compression Image morphing Poisson image editing

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CS4520 Final Project

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  1. CS4520 Final Project • Form into groups (1 to 3 students per group) • Choose a topic from the following list • Fast bilateral filtering for noise removal/ image zooming • Image compression • Image morphing • Poisson image editing • Or a topic outside this list, but it requires my approval as early as possible.

  2. Bilateral Filtering for Image Filtering and Image Zooming • Implement the bilateral filter for noise removal and image interpolation (digital zoom) with good edge preserving. • Implementation of fast algorithms for bilateral filtering. References: • C. Tomasi and R. Manduchi, "Bilateral Filtering for Gray and Color Images", Proc. 1998 IEEE Intern.Conf.on Computer Vision, Bombay, India. • S. Paris and F. Durand , “A Fast Approximation of the Bilateral Filter using a Signal Processing Approach, European Conference on Computer Vision (ECCV'06)

  3. Image Morphing • Develop a program to produce the gradual morphing process from a face to another face. References: Image Morphing: A Survey , George Wolberg, Visual Computer, vol. 14, pp. 360-372, 1998.

  4. Image/Video Compression • Develop a prototype color image compression program that can decode and encode an image. • Modify the H.264 reference program to improve the perceptual quality or computational efficiency. • References: • R. C. Gonzales and R. E. Woods, Digital Image Processing, Prentice Hall. • I. E. G. Richardson, H.264 and MPEG-4 Video Compression, Wiley, 2003 • Y. P. Su and M. -T. Sun, “Fast multiple reference frame motion estimation for H.264/AVC,” IEEE Trans. CSVT, vol. 16, pp. 447–452, Mar 2006. • F. Pan et al., “Fast mode decision algorithm for intra prediction in H.264/AVC video coding,” IEEE Trans. CSVT, Vol. 15, No. 7, pp. 813-822, July 2005.

  5. Poisson Image Editing • Process image in the gradient field by solving the corresponding 2D Poisson equations. • References: • P. Perez, M. Gangnet, A. Blake. Poisson image editing. ACM Trans. on Graphics (SIGGRAPH'03), 22(3):313-318, 2003. • Jia, J. et al., Drag-and-drop pasting. ACM Transactions on Graphics 25(3), 631–637, 2006.

  6. Final Project Schedule • 6/3: proposal due • Including team members and project goals • 6/21, 24: Final project presentation in class • 10 minutes for each team • 6/28: Final project report due

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