Panoramic image mosaics via complex wavelet pyramid

Image mosaics is one of the scene encoding approaches and is a very active research area in computer vision community and computer graphics community. This paper presents a robust panoramic image mosaicing scheme which employs complex wavelet pyramid and the human visual perceptive thresholding techniques. Complex wavelet transform guarantees not only a global optimal solution, but also scale and translation invariance for image alignment. Applying HVS (Human Visual System) thresholding for wavelet coefficients shows that image can be compressed significantly (15-30.1) while the reconstructed images are visually indistinguishable. The stitched images can be progressively refined on the multiresolution decomposition. This guarantees that the scheme has higher performance than traditional mosaicing techniques. Additionally, the scheme registers images taken directly by hand-held digital camera without knowing camera motion and any intrinsic parameters of camera. The present paper addresses the problems of both image matching and registration automatically and simultaneously