This thesis presents an approach to real-time image enhancement using texture synthesis. Traditional image enhancement techniques are typically time consuming, lack realistic detail, or do not scale well for large magnification factors.
Real-time Enhancement using Texture Synthesis (RETS) combines interpolation, classification, and patch-based texture synthesis to enhance low-resolution imagery, particularly aerial imagery. RETS uses as input a low-resolution source image and several high-resolution sample textures. The output of RETS is a high-resolution image with the structure of the source image, but with detail consistent with the high-resolution sample textures. We show that RETS can enhance large amounts of imagery in real-time. Our implementation can produce over twenty-five million pixels per second on an average PC.
College and Department
Physical and Mathematical Sciences; Computer Science
BYU ScholarsArchive Citation
Sorensen, Matthew J., "Real-time Image Enhancement Using Texture Synthesis" (2004). Theses and Dissertations. 211.
computer, graphics, texture, synthesis, terrain, real-time