with the arrival of increasingly higher resolution pet systems, small amounts of motion can cause significant blurring in the images, compared to the intrinsic resolutions of the scanners. in this work, we have reviewed advanced correction methods for the three cases of (i) unwanted patient motion, as well as motions due to (ii) cardiac and (iii) respiratory cycles. for the first type of motion...

in this paper, a novel decision based median (dbm) filter for enhancing mr images has been proposed. the method is based on eliminating impulse noise from mr images. a median-based method to remove impulse noise from digital mr images has been developed. each pixel is leveled from black to white like gray-level. the method is adjusted in order to decide whether the median operation can be appli...

A novel approach to fitting parabolas to scattered data is introduced by putting special emphasis on the robustness of the approach. The robust fit is achieved by not taking into account a proportion α of the “most outlying” observations, allowing the procedure to trim them off. The most outlying observations are self-determined by the data. Procrustes analysis techniques and a particular type ...

We propose a practical sensor deblurring filtering method for images that are contaminated with noise. A sensor blurring function is usually modeled via a Gaussian-like function having a bell shape. The straightforward inverse function results in the magnification of noise at high frequencies. To address this issue, we apply a special spectral window to the inverse blurring function. This speci...

We describe the establishment of a compound object model for object recognition purposes which provides the frame for the extraction of object structure from images degraded by noise. Our vision system is inspired by cognitive principles. From a set of sample views we automatically generate a sparse and view-based object representation, which contains enough information to represent the object ...

The aim of this paper is to detect faces in noisy images. All the test images contain faces with uniform background. The Hit-Miss transform is used to detect the boundaries of the objects and eliminate the effect of noise. Two filters are cascaded in a special way as to handle high levels of noise. An application for face detection in noisy conditions is presented. The algorithm is implemented ...

Recently, many computational saliency models have been introduced 5, 7, 13, 23 to transform a given image into a scalar-valued map that represents visual saliency of the input image. These approaches, however, generally assume the given image is clean. Fortunately, most methods implicitly suppress the noise before calculating the saliency by blurring and downsampling the input image, and theref...

The human visual system possesses the remarkable ability to pick out salient objects in images. Even more impressive is its ability to do the very same in the presence of disturbances. In particular, the ability persists despite the presence of noise, poor weather, and other impediments to perfect vision. Meanwhile, noise can significantly degrade the accuracy of automated computational salienc...

In present paper the effect of noise on fractal dimension of digital images has been tested. Since fractal dimension is a measure of texture which is property of neighbourhood, it is interesting to check how noise affects the values of fractal dimension. For this purpose, three standard digital images have been used and Gaussian noise, salt and pepper noise and speckle noise have been applied t...