盲辨识的模糊和多路冷杉完美的图像恢复

乔治·吉昂奈吉斯，研究员，美国，和罗伯特·希斯，小，成员，美国-Despite its practical importance in image processing

and computer vision, blind blur identification and blind image

restoration have so far been addressed under restrictive assumptions

such as all-pole stationary image models blurred by zero- or

minimum-phase point-spread functions. Relying upon diversity

(availability of a sufficient number of multiple blurred images),

we develop blind FIR blur identification and order determination

schemes. Apart from a minimal persistence of excitation condition

(also present with nonblind setups), the inaccessible input image

is allowed to be deterministic or random and of unknown color or

distribution. With the blurs satisfying a certain co-primeness condition

in addition, we establish existence and uniqueness results

which guarantee that single-input/multiple-output FIR blurred

images can be restored blindly, though perfectly in the absence of

noise, using linear FIR filters. Results of simulations employing

the blind order determi