By Roumen Kountchev, Kazumi Nakamatsu
The publication places detailed rigidity at the modern strategies for reasoning-based photo processing and research: studying dependent photo illustration and complex video coding; clever photograph processing and research in scientific imaginative and prescient platforms; similarity studying versions for photograph reconstruction; visible notion for cellular robotic movement keep watch over, simulation of human mind job within the research of video sequences; shape-based invariant beneficial properties extraction; crucial of paraconsistent neural networks, creativity and clever illustration in computational structures.
The e-book includes 14 chapters. every one bankruptcy is a small monograph, representing resent investigations of authors within the quarter. the themes of the chapters hide extensive medical and alertness components and supplement each-other rather well. The chapters’ content material relies on basic theoretical displays, through experimental effects and comparability with related thoughts. the scale of the chapters is well-ballanced which allows an intensive presentation of the investigated difficulties. The authors are from universities and R&D associations around the world; a few of the chapters are ready via foreign groups. The ebook might be of use for college and PhD scholars, researchers and software program builders operating within the quarter of electronic picture and video processing and analysis.
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Extra info for Advances in Reasoning-Based Image Processing Intelligent Systems: Conventional and Intelligent Paradigms
The decoding speeds of both the codecs are found to be comparable. There are quite a few research papers    suggesting techniques to optimize Dirac’s entropy coder. According to one , a much faster video codec can be achieved by replacing the original arithmetic coder of the Dirac algorithm with an accurately configured M-coder. The new arithmetic coder is three times faster for high bit rates and even outperforms the original compression performance. Another paper  suggests a rate control algorithm based on optimization of quality factor for Dirac codec.
Kountchev, V. Todorov, and R. Kountcheva 2. , Bovik), obtained through sub-band decomposition and discrete wavelet transform (DWT) in particular. These pyramids have practically independent neighbor levels which is a prerequisite for their efficient coding. The first level in a pyramid of this kind contains four images with half the size of the original and each fourth corresponds to definite part of the 2D Fourier spectrum. The first one, LL contains the low-frequency spectrum frequencies, which have on the basic part of the visual information; the second, LH contains the lowest frequencies in the vertical direction and the highest – in the horizontal; the third, HL – the highest frequencies in the vertical direction and the lowest in the horizontal, and the fourth, HH – the highest frequencies in both directions, which correspond to finest structure.
9] Dirac also defines three types of frames. Intra (I) frames are coded without reference to other frames in the sequence. Level 1 (L1) frames and Level 2 (L2) frames are both inter frames, that is, they are coded with reference to other previously coded frames. The difference between L1 and L2 frames is that L1 frames are also used as temporal references for other frames, whereas L2 frames are not.  A prediction structure for frame coding using a standard group of pictures (GOP) structure  is shown in Fig.