Fast Colour Balance Adjustment of IKONOS Imagery Using CUDA
Yong Kiat Allan Tan, Wee Juan Tan, Leong Keong Kwoh · 2008
With the advancement of sensor technology, the image resolution of optical satellites improves, increasing image size in the process. For satellite imagery mosaic composition, the task of performing color balancing becomes more intensive due the sheer size of data needed to be processed. In order to reduce the processing time for color balancing, the proposed procedure takes advantage of the Graphics Processor Unit's data-parallel capabilities using Compute Unified Device Architecture (CUDA). By repartitioning the image data and modifying the conventional color balancing algorithm to suit CUDA's requirements, we are able to cut down the processing time to a fraction of the original time taken by conventional methods, showing CUDA's capabilities in remote sensing image processing applications.