Affiliation:
1. Pooja Bhagavat Memorial Mahajana Education Centre, KRS Road, Metagalli, Mysuru – 570016.
Abstract
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.
Publisher
Oriental Scientific Publishing Company
Subject
General Earth and Planetary Sciences,General Environmental Science
Reference13 articles.
1. 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.
2. 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.
3. 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
4. CrossRef
5. 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.
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