Abstract: Techniques disclosed herein include systems and methods for tracking, visualizing and understanding energy or utilities usage of one or many buildings. The system links building characteristics with energy or utilities use thereby enabling users to view energy or utilities usage and cost information at the portfolio, development, building, or meter levels. This technique allows for easy comparison among and between buildings in a portfolio, group, or common ownership. The system provides for quick creation of custom reports to compare buildings across portfolios. These custom reports further enable users to compare energy/utilities use of buildings within a given account relative to energy/utilities use of similar buildings in a larger database, thus providing meaningful performance benchmarking based on real data.

Abstract: A computer method and system for deblurring an image is provided. The invention method and system of deblurring employs statistics on distribution of intensity gradients of a known model. The known model is based on a natural image which may be unrelated to the subject image to be deblurred by the system. Given a subject image having blur, the invention method/system estimates a blur kernel and a solution image portion corresponding to a sample area of the subject image, by applying the statistics to intensity gradients of the sample area and solving for most probable solution image. The estimation process is carried out at multiple scales and results in a blur kernel. In a last step, the subject image is deconvolved image using the resulting blur kernel. The deconvolution generates a deblurred image corresponding to the subject image.

Abstract: A computer method and system for deblurring an image is provided. The invention method and system of deblurring employs statistics on distribution of intensity gradients of a known model. The known model is based on a natural image which may be unrelated to the subject image to be deblurred by the system. Given a subject image having blur, the invention method/system estimates a blur kernel and a solution image portion corresponding to a sample area of the subject image, by applying the statistics to intensity gradients of the sample area and solving for most probable solution image. The estimation process is carried out at multiple scales and results in a blur kernel. In a last step, the subject image is deconvolved image using the resulting blur kernel. The deconvolution generates a deblurred image corresponding to the subject image.