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The paper presents a new multiplier enabling achievement of an arbitrary accuracy. It follows the same idea of number representation as the Mitchell's algorithm, but does not use logarithm approximation. The proposed iterative algorithm is simple and efficient and its error percentage is as small as required. As its hardware solution involves adders and(More)
Digital signal processing algorithms often rely heavily on a large number of multiplications, which is both time and power consuming. However, there are many practical solutions to simplify multiplication, like truncated and logarithmic multipliers. These methods consume less time and power but introduce errors. Nevertheless, they can be used in situations(More)
Among the many categories of images that require lossless compression, medical images can be indicated as one of the most important category. Medical image compression with loss impairs of diagnostic value, therefore, there are often legal restrictions on the image compression with losses. Among the common approaches to medical image compression we can(More)
There are many digital signal processing applications where a shorter time delay of algorithms and efficient implementations are more important than accuracy. Since squaring is one of the fundamental operations widely used in digital signal processing algorithms, approximate squaring is proposed. We present a simple way of approximate squaring that allows(More)
Colon cancer is one of the deadliest diseases where early detection can prolong life and can increase the survival rates. The early stage disease is typically associated with polyps and mucosa inflammation. The often used diagnostic tools rely on high quality videos obtained from colonoscopy or capsule endoscope. The state-of-the-art image processing(More)
Spatial partitioning is proven to be beneficial for the tasks of image classification, scene categorization and object recognition. The most popular method to capture rough spatial structure of the scene is spatial pyramid matching. However, spatial pyramid matching results in an image representation that is sensitive to rotations. In this research we(More)
During the years image classification gained important significance in practice, especially in the fields of digital radiology, remote sensing, image retrieval, etc. Typical algorithm for image classification contains descriptor extraction phase, learning phase and testing phase. Testing phase calculates accuracy of the classifier based on predetermined set(More)