Chapter 1INTRODUCTION1.1 Problem Statement Image mosaicking has been in practice long before the digital computer era. Shortly after the development of the photographic process in 1839, the use of photographs was demonstrated on topographic mapping to construct mosaic images from superimposed photographs. Initially this was done by manually mosaicking images acquired by calibrated equipment. The need for mosaicization continued to increase throughout history as satellites began sending images back to earth. Improvements in computer technology have become a natural motivation to develop computational techniques and solve related problems.1.2 PurposeThe purpose of this project is mosaic of two images captured from different angles using MATLAB.1.3 Project BriefImage Mosaics are assemblages of minute images that they are joined in such a way that if someone sees the image from a distance a larger image appears. The arrangement of small images can be manual or automatic. In Image Mosaics the color is automatically adjusted. Aligned images after undergoing geometric corrections will most likely require further processing to eliminate remaining distortions and discontinuities. Image alignment may be imperfect due to registration errors resulting from incompatible model assumptions, dynamic scenes, etc. Additionally, in most cases images that need to be mosaicked are not exposed uniformly due to changing lighting conditions, automatic camera controls, printing/scanning devices, etc. These unwanted effects can be alleviated during the composition process.Chapter 2Block Diagram and Working Procedure2.1 Block DiagramInputs......middle of paper......nt7.1 ConclusionSo the idea behind this project is about mosaicking images together using Mat lab. By taking two split images of the same image that are at different angles, we can mosaic them to get a complete image.7.2 Future Improvements The idea of ​​image mosaicking can be implemented to mosaic two different images that may not be the same image type . It can also be used for dynamic split images. References[1] HS 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 Zoom)[8] Peleg and Rousso, 2000 (Adaptive manifolds, Strip mosaicing)