An effective way to implement image processing applications is to use embedded processors with dynamically reconfigurable accelerator cores. The processing speed of these processors are not only depends on the parallelism, but also depend on the local memory utilization since the local memories are much faster than the global memory. In this paper, we accelerate the optical-flow extraction algo...

Document Image Binarization converts a gray-scale document image into binary document image .It is usually performed in the pre-processing stage of document image analysis and it aims to segment the foreground text from the document background. Segmentation of foreground text from the document background is a difficult task in the case of degraded document images. In this paper we propose a sim...

Contrast is an important factor affecting the image quality. In order to overcome the problems of local band-limited contrast, a novel image contrast assessment method based on the property of HVS is proposed. Firstly, the image by low-pass filter is performed fast wavelet decomposition. Secondly, all levels of band-pass filtered image and its corresponding low-pass filtered image are obtained ...

introduction: diabetic retinopathy (dr) is the single largest cause of sight loss and blindness in the working age population of western countries; it is the most common cause of blindness in adults between 20 and 60 years of age. early diagnosis of dr is critical for preventing vision loss so early detection of microaneurysms (mas) as the first signs of dr is important. this paper addresses th...

The perception of biological motion combines the analysis of form and motion. However, patient observations by Vaina et al. and psychophysical experiments by Beintema and Lappe showed that humans could perceive human movements (a walker) without local image motion information. Here, we examine the specificity of brain regions responsive to a biological motion stimulus without local image motion...

We present an optimization framework for expressing image processing applications that can account for three perceptual biases of the human visual system (HVS) already well-known in the perception literature. (1) The perception literature is ripe with studies demonstrating the HVS to be more sensitive to local pixel gradients than absolute pixel values, which has led to some important work in g...

A new class of filters for multichannel image processing is introduced and analyzed in this brief. This class constitutes a generalization of vector directional filters. The proposed filters use fuzzy transformations of the angles among the different vectors to adapt to local data in the image. The principle behind the new filters is explained and comparisons with other popular nonlinear filter...