Image Retrieval using Perceptual Hashing
نویسندگان
چکیده
منابع مشابه
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...
متن کاملimage 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...
متن کاملPerceptual Image Hashing
With the fast advancement of computer, multimedia and network technologies, the amount of multimedia information that is conveyed, broadcast or browsed via digital devices has grown exponentially. Simultaneously, digital forgery and unauthorized use have reached a significant level that makes multimedia authentication and security very challenging and demanding. The ability to detect changes in...
متن کاملShape - based Image Retrieval Using Geometric Hashing
We present a general strategy for shape-based image retrieval which considers similarity modulo a given transformation group G. The shape content of an image is summarized by recording what geometric primitives, such as line segments and circular arcs, t where in the image. Geometric hashing is used to compute a set of primitive features which are invariant under a G-transformation of the image...
متن کاملImage authentication using LBP-based perceptual image hashing
Feature extraction is a main step in all perceptual image hashing schemes in which robust features will lead 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 perce...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IOSR Journal of Computer Engineering
سال: 2013
ISSN: 2278-8727,2278-0661
DOI: 10.9790/0661-0913840