Complexity-Regularized Denoising of Poisson-Corrupted Data

In this paper, we apply the complexity?regularization principle to Poisson imaging. We formulate a natural distortion measure in image space, and present a connection between complexity?regularized estimation and rate?distortion theory. For computational tractability, we apply constrained coders such as JPEG or SPIHT to solve the optimization problem approximately. Also, we design a simple predictive coder which lends itself well to our optimization problem.

• Type: Conference
• Year: 2000
• Where: ICIP
• Authors: Juan Liu, Pierre Moulin
• Keywords: ICIP 2000, Image Processing, Natural Distortion Measure, Optimization Problem, Simple Predictive Coder