Approximation of color characterization MLUTS with artificial neural networks

MLUTs used in color characterization require significant memory for embedded systems. Most tools that create device characterization maps, use MLUTs. For this reason, there is interest in approximating MLUT color characterization mappings with more compressed function approximation methods. In this document, artificial neural network approximations for MLUTs are investigated. Color accuracy, computational loads, and memory requirements are discussed.

• Type: Conference
• Year: 2003
• Where: ICIP
• Authors: Michael J. Vrhel
• Keywords: Color Accuracy, Color Characterization Mappings, Compressed Function Approximation, Device Characterization Maps, ICIP 2003, Image Processing, Neural Network Approximations