IEEE Transactions on Image Processing

Ieee Transactions on Image Processing

| This paper examines the spatial resolution properties of penalized-likelihood image reconstruction methods by analyzing the local impulse response. The analysis shows that standard regularization penalties induce space-variant local impulse response functions, even for space-invariant tomographic systems. Paradoxically, for emission image reconstruction the local resolution is generally poore...

Ieee Transactions on Image Processing

| This article sets out a new representation of an image which is contrast independent. The image is decomposed into a tree of \shapes" based on connected components of level sets, which provides a full and non-redundant representation of the image. A fast algorithm to compute the tree, the Fast Level Lines Transform, is explained in details. Some simple and direct applications of this represen...

Ieee Transactions on Image Processing

Ieee Transactions on Image Processing

1 Total Variation Blind Deconvolution Tony F. Chan, C.K. Wong Abstract|In this paper, we present a blind deconvolution algorithm based on the total variational (TV) minimization method proposed in [11]. The motivation for regularizing with the TV norm is that it is extremely e ective for recovering edges of images [11] as well as some blurring functions, e.g. motion blur and out-of-focus blur. ...

Ieee Transactions on Image Processing

A fractal coder partitions an image into blocks that are coded via self-references to other parts of the image itself. In this paper we present a fractal coder that derives highly image-adaptive partitions and corresponding fractal codes in a time-eecient manner using a region-merging approach. The proposed merging strategy leads to improved rate-distortion performance compared to previously re...