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Content Based Image Retrieval: Survey and Comparison of CBIR System based on Combined Features
Savita Gandhani,Nandini Singhal 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.11
In image processing, computer vision and pattern recognition, the Image retrieval is a most popular research area. In this paper, performance of various CBIR systems, based on combined feature i.e., color texture and shape, are compared.
Analysis of Copy-move Forgery Image Forensics: A Review
Nandini Singhal,Savita Gandhani 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.7
In the era of today's world verification of images plays an important role. Various image editing tools are available in the market which can make changes in image in different ways. By using these tools, we can make slight changes in the image by resizing, rotating, noise addition and stretching an image or by splicing or copy move which is difficult to detect by human eyes. The digital images plays important role in many fields such as criminal and forensic investigation, military, journalism etc. So we needed some forgery detection technique for digital image. This paper reviews techniques for pixel-based forgery detection. First is copy-move or cloning and second is fast-copy move detection. In copy-move or cloning technique a part of the image is copied and pasted into another part of the image. But this image has limitation of only shifting of copied regions. So, second technique fast-copy move detection is discussed. Its result is complex but precise. Main disadvantage of fast-copy move technique it is not being able to detect for very small region.