Amotz Bar-Noy, Sudipto Guha, et al.
ACM Transactions on Algorithms
There are many ways of capturing images to represent a detailed scene. Our motivation is to use inexpensive digital cameras with little setup requirements and to allow photographers to differentially capture both low-resolution overviews and high-resolution details. We present the heterogeneous image pyramid as a non-uniform representation composed of multiple captured multi-resolution images. Each resolution image captures a specific portion of the scene at the photographer's discretion with the desired resolution. These images are highly correlated since they are captured from the same scene. Consequently, these images can be registered and represented more compactly in a 3-dimensional spatial image pyramid called the heterogeneous image pyramid.
Amotz Bar-Noy, Sudipto Guha, et al.
ACM Transactions on Algorithms
Alan E. Rosenbluth, Gregg Gallatin, et al.
SPIE Optics + Photonics 2005
Jacob E. Fromm
Journal of Computational Physics
Frances A. Houle, William D. Hinsberg, et al.
Microlithography 2003