SYSTEMS AND METHODS FOR AUTOMATIC IMAGE ENHANCEMENT UTILIZING FEEDBACK CONTROL

摘要

Disclosed herein is an automated system comprising methods for improving image quality and image features by using feedback methodologies. More particularly, the systems and methods utilize a feedback loop that takes corrective actions based on the difference between the desired and the actual quality of the image in the enhancement system. The systems and methods include a multi-level design along with feedback loops between the current iteration and each previous iteration so that a measure can control the output by providing inputs to the imaging systems. By evaluating the difference between the computed measure of an enhanced image and its desired image, the system can supply a corrective action. If the system undergoes some image change that affects the regulated image, it can sense this change and force itself back to the desired enhanced image.

主权项

1. A system configured for feedback image enhancement comprising:
a computing device configured with a controller signal configured by the relationshipsXpnew(i,j,k)=Xpold(i,j,k)+U(i,j,k)U(i,j,k)=f(IEM)+{r-IEM(X)}E(i,j,k)=∑γ=13∑β=j-wj+w∑α=i-wi+wγα,β,γX(i+α,j+β,k) where XPnew(i, j, k) represents the image intensity of a previous iteration at pixel(i, j) and color plane k (k=1, 2, 3 for red, green, and blue, respectively), U(i, j, k) is the controller and Xpnew is the result of applying the controller, Xpold is the image created in the previous iteration, α and k are two arbitrary constants which could be adjusted based on image category, and IEM(Xpnew) is an image enhancement measure, and wherein in the above relation, the size of the cube is (2w+1)×(2w+1))×3; wherein the enhanced image is the first iteration and continuing the steps while the error of enhancement measure between two iterations is equal to or less than the set point assigned by the designer.