Content-based image authentication by feature point clustering and matching

Content-based image authentication by feature point clustering and matching

Digital multimedia makes fabricating and copying much easier than ever before. Therefore, it demands efficient and automatic techniques to identify and verify the content of digital multimedia. Image authentication is such a technique to automatically identify whether the query image is a fabrication or a simple copy of the original one. In this paper, we propose a perceptual image authenticati...

Image Content Authentication based on

Reversible image authentication has drawn a great attention for its ability to recover the original image from the watermarked image. The primary concern of authentication is to prevent from unauthorized manipulation of the image and hence has attained good importance. This paper proposes a block based reversible watermarking scheme for image authentication based on histogram modification of th...

Content based Color Image Clustering

Never before in history has image data been generated at such high volumes as it is today. If images are analyzed properly, they can reveal useful information to the users. Image mining deals with the extraction of implicit knowledge, image data relationship, or other patterns not explicitly stored in the images. Image clustering involves the extraction of features from image databases and then...

Image authentication using LBP-based perceptual image hashing

Feature extraction is a main step in all perceptual image hashing schemes in which robust features will led to better results in perceptual robustness. Simplicity, discriminative power, computational efficiency and robustness to illumination changes are counted as distinguished properties of Local Binary Pattern features. In this paper, we investigate the use of local binary patterns for percep...

Content-Based Image Feature Description and Retrieving