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Comparative Study on Classification of Digital Images
Digital images are widespread today. The use of digital images is classified into natural images and computer graphic images. Discrimination of natural images and computer graphic (CG) images are used in the applications which include flower classification, indexing of images, video classification and many more. With the rapid growth in the image rendering technology, the user can produce very high realistic computer graphic images using sophisticated graphics software packages. Due to high realism in CG images, it is very difficult for the user to distinguish it from natural images by a naked eye. This paper presents comparative study of the existing schemes used to classify digital images.
Keywords
Digital Image, Natural Image, Computer Graphic Image, Classification.
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- Ahmed Talib, Massudi Mahmuddin, Husniza Husni and Loay E. George, “Influencing Factors on Classfication of Photographic and Computer Generated Images”, in Jrnl. Of Computing, Vol. 4, Issue 2, Feb 2012, pp. 74-79.
- Dongmei Chen, Jianhua Li, Shilin Wang, Shenghong Li, “Identifying Computer Generated and Digital Camera Images Using Fractional Lower Order Moments”, in 4th IEEE conf. on Industrial Electronics and Applications, pp. 230-235, 2009.
- Fei Peng, Jiaoling Shi, Ming Long, “Identifying photographic images and photorealistic computer graphics using multifractal spectrum features of PRNU”, in IEEE Intl. Conf. on Multimedia and Expo, DOI: 10.1109/ICME.2014.6890296
- PAN Feng, CHEN JiongBin, HUANG JiWu, “Discriminating between photorealistic computer graphics and natural images using fractal geometry”, in Science in China Series F: Information Sciences, Vol. 52, Issue 2, pp. 329-337, 2009.
- Fei Peng, Die-lan Zhou, Min Long, Xing-ming Sun, “Discrimination of natural images and computer generated graphics based on multi-fractal and regression analysis”, in Int. J. Electron.Commun., Vol. 71, 2017, pp. 72-81.
- Yingda Lv, Xuanging Shen, Guofu Wan, HaiPeng Chen, “Blind Identification of Photorealistic Computer Graphics Based on Fractal Dimensions”, in Int. Conf. on Computer, Commun. and Inf. Tech., pp. 257-260, 2014.
- Fei Peng, Die-lan Zhou, “Discriminating natural images and computer generated graphics based on the impact of CFA interpolation on the correlation of PRNU”, in Elsevier J. of Digital Investigation, Vol. 11, 2014, pp. 111-119.
- Shaojing Fan, Rangding Wan, Yongping Zhang, Ke Guo, “Classifying Computer Generated Graphics and Natural Image Based on Image Contour Information”, in Jrnl. Of Inf. & Computational Science 9: 10, 2012, pp. 2877-2895.
- Rong Zhang, Randing Wang, “Distinguishing Photorealistic Computer Graphics from Natural Images by Imaging Features and Visual Features”, in IEEE Intl. Conf. on Electronics, Communications and Control, 2011, pp. 226-229.
- Nitin Khanna, George T.-C. Chiu, Jan P. Allebach, Edward J. Delp, “Forensic techniques for classifying scanner, computer generated and digital camera images”, in IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, 2008, pp. 1653-1656.
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