Design and Research of an Image File Format with Rich Information
Journal of Electrical and Electronic Engineering
Volume 6, Issue 2, April 2018, Pages: 71-74
Received: Jun. 29, 2018;
Accepted: Jul. 13, 2018;
Published: Aug. 13, 2018
Views 2358 Downloads 214
Wang Zhenhua, Department of Computer Science, School of Information Engineering, China University of Geosciences (Beijing), Beijing, China
Chen Chunli, Department of Computer Science, School of Information Engineering, China University of Geosciences (Beijing), Beijing, China
Xia Junbao, Department of Computer Science, School of Information Engineering, China University of Geosciences (Beijing), Beijing, China
Follow on us
The effect of image processing is determined by the amount of information provided by the image files. With the development of integrated circuit and sensor technology, the image information acquisition technology has been greatly improved, we can obtain higher and higher image quality, and it is possible that image files contain more and more abundant information. The realization of technologies such as image target detection and recognition, image and video retrieval, image segmentation, matching and understanding has a high dependence on image quality. By use of a series of sensors or instruments, we collect relevant data and add relevant information in image files, adding some information to traditional image files, such as: complex environmental information (smoke, fog, rain, clouds, snow, etc.), feature targets Distance, brightness, etc., are conducive to the processing of graphic feature data. The paper analyzes the hierarchical structure of image information, the necessity and feasibility of the increase of image file information, how to increase the relevant information in the image file format, and the significance of the rich information image file format.
Image File Format, Image Processing, Image Information Hierarchy, Image Understanding
To cite this article
Design and Research of an Image File Format with Rich Information, Journal of Electrical and Electronic Engineering.
Vol. 6, No. 2,
2018, pp. 71-74.
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Wiggins, Richard H., III; Davidson, H. Christian; Harnsberger, H. Ric; et al. Image File Formats: Past, Present, and Future [J]. Radiographics, 2001, Vol. 21 (3): 789-798.
Isra'a Abdul-Ameer Abdul-Jabbar; Jieqang Tan; Zhengfeng Hou. Face Recognition Enhancement Based on Image File Formats and Wavelet De-noising [J]. Lecture Notes in Engineering and Computer Science, 2014, Vol. 2209 (1): 441-445.
WANG Xiao-meng, CAO Guang-chao. Analysis and Reading of Img Image File Format [J]. SCIENCE AND TECHNOLOGY, 2012, (24): 81-82.
Zhou Feng. Analysis of DICOM medical image file format and information extraction [J]. Journal of Hebei Polytechnic College (Natural Science Edition), 2011, (5): 31-33.
FENG Yan-hui, GAO Jie, XU Wei, et al. Research on file format based on JPEG images [J]. Shanxi Electron Technology, 2009, (1): 38-39.
Rafael Dueire Lins; Domingos Sa´vio Alca⁁ntara Machado. Comparative study of file formats for image storage and transmission [J]. J. Electron. Imaging, 2004, Vol. 13 (1): 175-181.
Gong Xiaoyu. The Analysis of the Format of GIF Image Files [J]. Journal of Computerworld, 1993, (12): 16-19.
Michele Larobina; Loredana Murino. Medical Image File Formats [J]. Journal of Digital Imaging, 2014, Vol. 27 (2): 200-206.
Hannuksela, Miska M.; Lainema, Jani; Vadakital, Vinod K. Malamal. The High Efficiency Image File Format Standard [J]. IEEE Signal Processing Magazine, 2015, Vol. 32 (4).
Yu Zhang; Yi Wan; Liangshan Shao; et al. The studies and implementation for conversion of image file format [J]. Information Technology, 2015,: 423-426.
Lizhe Wang; Weijing Song; Peng Liu. Link the remote sensing big data to the image features via wavelet transformation [J]. Cluster Computing, 2016, Vol. 19 (2): 793-810.
Song Liang, Chen Yuxuan. Discussion on Image Processing and BMP Image File Format [J]. Electronic Design Engineering, 2014, (7): 188-190, 193.
LK Tan. Image File Formats [J]. Biomedical Imaging and Intervention Journal, 2006, Vol. 2.
Rahul R Upadhyay. Study of Encryption and Decryption of Wave File in Image Formats [J]. Computer Science, 2013.
WANG Li-ping. Application of Graphic File Format [J]. Science & Technology Innovation, 2014, (24): 51-52.
A Format for Digital Preservation of Images: A Study on JPEG 2000 File Robustness [J]. D-Lib Magazine, 2008, Vol. 14.
Wang, Lizhe; Zhang, Jiabin; Liu, Peng; et al. Spectral-spatial multi-feature-based deep learning for hyperspectral remote sensing image classification. [J]. Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2017, Vol. 21 (1): 213-221.