Ming-Jung Seow

Learn More
A novel architecture for performing color image enhancement using a machine learning algorithm called Ratio Rule is proposed in this paper. The approach promotes log-domain computation to eliminate all multiplications and divisions, utilizing the approximation techniques for efficient estimation of the log 2 and inverse-log 2. A new quadrant symmetric(More)
A robust and efficient image enhancement technique has been developed to improve the visual quality of digital images that exhibit dark shadows due to the limited dynamic ranges of imaging and display devices which are incapable of handling high dynamic range scenes. The proposed technique processes images in two separate steps: dynamic range compression(More)
We propose a linear attractor network based on the observation that similar patterns form a pipeline in the state space, which can be used for pattern association. To model the pipeline in the state space, we present a learning algorithm using a recurrent neural network. A least-squares estimation approach utilizing the interdependency between neurons(More)