The algorithm and the architecture of the information processing system of infrared imaging guidance are studied. Wavelet transform can decompose the image in multi-scale, so the different frequencies components of an image can be selected. The dim target can be detected by wavelet transform. The dramatic increase in the computational speed provided by DSP offers the possibilities of processing large high-resolution images in real time. The authors have experience in processing high-resolution images (up to pixels, eight bits per pixel) using TI's TMS320C6201 DSP. We have developed a technique, which uses FPGA to perform wavelet transform to decrease the execution time.

Date Published: 25 September 2001
PDF: 5 pages
Proc. SPIE 4548, Multispectral and Hyperspectral Image Acquisition and Processing, (25 September 2001); doi: 10.1117/12.441414

Published in SPIE Proceedings Vol. 4548:
Multispectral and Hyperspectral Image Acquisition and Processing
Qingxi Tong; Yaoting Zhu; Zhenfu Zhu, Editor(s)