Abstract Partial differential equations (PDE’s) have dominated image processing research recently (see Suri et al. [1], [2], [3], [4], [5], [6] and Haker [7]). The three main reasons for their success are: (1) their ability to transform a segmentation modeling problem into a partial differential equation framework and their ability to embed and integrate different regularizers into these models...

In several image processing applications one has to deal with noisy images defined on surfaces, like electric impulsions or diffusion tensors on the cortex. We propose a new regularization technique for data defined on triangulated surfaces: the Beltrami flow over intrinsic manifolds. This technique overcomes the over smoothing of the L2 and the stair-casing effects of the L1 flow for strongly ...

In this paper, we propose an enhanced Fractal Image Compression (FIC) approach. In this method, the original image is represented by a provisional image and a difference image, which records the difference between the original and provisional image. With the less number of domain blocks required to do the best match search, the encoding time can be reduced by about 30% with a tolerance loss in ...