Image Mosaics

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Chapter 1
INTRODUCTION
1.1 Statement of problem

Mosaicking of images has been in practice since long before the age of digital computers. Shortly after the photographic process was developed in 1839, the use of photographs was demonstrated on topographical mapping to construct mosaic images from overlapping photographs. This was initially done by manually mosaicking images which were acquired by calibrated equipment.
The need for mosaicking continued to increase later in history as satellites started sending pictures back to earth. Improvements in computer technology became a natural motivation to develop computational techniques and to solve related problems.

1.2 Aim
The aim of this project is to mosaic two images which are captured at different angles using MATLAB.

1.3 Brief Idea of the project
Image Mosaics are assemblage of minute Images which are joined in such a way that if anyone sees the image from a distance it appears a larger image. The arrangement of small Images may be manual or automatic. In Image Mosaics color is adjusted automatically.
Images aligned after undergoing geometric corrections most likely require further processing to eliminate remaining distortions and discontinuities. Alignment of images may be imperfect due to registration errors resulting from incompatible model assumptions, dynamic scenes, etc. Furthermore, in most cases images that need to be mosaicked are not exposed evenly due to changing lighting conditions, automatic controls of cameras, printing/scanning devices, etc. These unwanted effects can be alleviated during the compositing process.

Chapter 2
Block Diagram and working Procedure
2.1 Block Diagram
Inputs ...

... middle of paper ...

...nt
7.1 Conclusion
Thus the idea behind this project is, to mosaic images together using Mat lab. By taking two split images of same image which are in different angles we can mosaic them to give a complete image.

7.2 Future Enhancement
The idea of image mosaicking can be implement for mosaicking two different images it may not be of same image kind. And also it can be used for dynamic split images.

References
[1] H.S. Sawhney, R. Kumar, G. Gendel, J. Bergen, D. Dixon,Experiences with Consumer Video Mosaicking.
[2] Barnea & Silverman, 1972 (L1 Norm)
[3] Kuglin & Hines, 1975 (Phase Correlation)
[4] Mann & Picard, 1994 (Cylindrical projection)
[5] Irani & Anandan, 1995 (Static and Dynamic mosaics)
[6] Szeliski, 1996 (Transformation optimization)
[7] Badra, 1998 (Rotation and Zooming)
[8] Peleg and Rousso, 2000 (Adaptive Manifolds, Mosaicking using strips)

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