International Journal of Computers

ISSN: 1998-4308
Volume 14, 2020

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of NAUN Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.

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Volume 14, 2020

Title of the Paper: One Approach to Conducting the Hierarchical Structuring of Various Systems


Authors: Teimuraz Tsabadze, Archil Prangishvili

Pages: 17-25

Abstract: This paper is intended to present a new approach to the hierarchical structuring of various systems.An approach is thoroughly discussed and its theoretical justification is given, in particular, a theorem is proved that gives formalisms for constructing hierarchical structuring.The paper includes a detailed practical exampleof application of the introduced method. Further ways of development of the presented work are also outlined.

Title of the Paper: Block Based Motion Estimation Algorithms: Analysis


Authors: Kiran Kumar Vemula, S. Neeraja

Pages: 9-16

Title of the Paper: Lossless Compression of Medical Images based on the Differential Probability of Images


Authors: Cheng Yao, Shuchao Chen, Jiawen Fu, Shuai Ren, Lizhi Liu, Hongbo Chen

Pages: 1-8

Abstract: Lossless compression is crucial in the remote transmission of large-scale medical image and the retainment of complete medical diagnostic information. The lossless compression method of medical image based on differential probability of image is proposed in this study. The medical image with DICOM format was decorrelated by the differential method, and the difference matrix was optimally coded by the Huffman coding method to obtain the optimal compression effect. Experimental results obtained using the new method were compared with those using Lempel–Ziv–Welch, modified run–length encoding, and block–bit allocation methods to verify its effectiveness. For 2-D medical images, the lossless compression effect of the proposed method is the best when the object region is more than 20% of the image. For 3-D medical images, the proposed method has the highest compression ratio among the control methods. The proposed method can be directly used for lossless compression of DICOM images.