IMAGE DEBLURRING USING DERIVATIVE COMPRESSED SENSING FOR OPTICAL IMAGING APPLICATION

IMAGE DEBLURRING USING DERIVATIVE COMPRESSED SENSING FOR OPTICAL IMAGING APPLICATION The problem of reconstruction of digital images from their blurred and noisy measurements is unarguably one of the central problems in imaging sciences. Despite its ill-posed nature, this problem can often be solved in a unique and stable manner, provided appropriate assumptions on the nature […]


HIGHER DEGREE TOTAL VARIATION (HDTV) REGULARIZATION FOR IMAGE RECOVERY

HIGHER DEGREE TOTAL VARIATION (HDTV) REGULARIZATION FOR IMAGE RECOVERY We introduce novel image regularization penalties to overcome the practical problems associated with the classical total variation (TV) scheme. Motivated by novel reinterpretations of the classical TV regularizer, we derive two family es of functional involving higher degree partial image derivatives; we term these families as […]