دانلود رایگان مقاله لاتین درهم سازی تصویر براساس زاویه بردار رنگ از سایت الزویر
عنوان فارسی مقاله:
درهم سازی قدرتمند تصویر براساس زاویه بردار رنگ و عملگر کنی
عنوان انگلیسی مقاله:
Robust image hashing based on color vector angle and Canny operator
سال انتشار : 2016
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مقدمه انگلیسی مقاله:
1. Introduction
Image hashing is a new and hot topic of multimedia processing. It uses a short string called image hash to denote an image, and has been widely applied to many applications [1], such as image authentication, image forensics, image retrieval, image indexing and image copy detection. In practice, digital images often undergo some normal processing such as JPEG compression, geometric transform, and format conversion. After these processing, visual appearances between the original and processed images are unchanged, but digital representations are quite different. So their imagehashes are expectedto be the same or very similar.Ingeneral, image hashing has two basic properties [1–3] as follows.(1) Perceptual robustness:Imagehashing shouldmapvisually identicalimages to the same or very similar hashes regardless of their digital representations. In other words, image hash should be robust against normal digital processing, such as image compression and image enhancement. (2) Discriminative capability: For different images, image hashing should produce differentimage hashes. Exceptthese basic properties, image hashing must satisfy other property forsome specific applications. For example, it should be secure enough (e.g., controlled by keys) for application to image forensics. In the past years, many researchers have devoted themselves to developing image hashing. The pioneer work was introduced by Schneider and Chang [4]. Fromthen on, image hashing has attracted much attention in multimedia community. At first, researchers used discrete wavelet transform (DWT), discrete cosine transform (DCT) and discrete Fourier transform (DFT) to develop image hashing. For example, Venkatesan et al. [5] exploited DWT coefficients statistics to constructimagehashes. This algorithmis robust against JPEG compression, median filtering and rotation within 2◦, but fragile to gamma correction and contrast adjustment. Fridrich and Goljan [6] used DCT coefficients to design hashing function. This method is sensitive to image rotation. Swaminathan et al. [7] used DFT coefficients to produce image hashes. This hashing can resist digital processing such as moderate geometric transforms and filtering. Monga and Evans [8] detected visually significant feature points with the end-stopped wavelettransform and exploited them to construct hashes. Later, Radom transform (RT) was also taken for hash generation. For example, Lefèbvre et al. [9] were the first of using RT to design image hashing. Motivated by RT, Roover et al. [10] introduced a RASH method based on radial projections of image pixels and 1-D DCT. This scheme is robust to rotation, but its discrimination is not good enough. In another work, Ou and Rhee [11] applied RT to input image, randomly selected 40 projections to perform 1-D DCT, and took the firstAC coefficient of each projectionto produce hash. The RT-DCT hashing is resistant to rotation within 5◦.
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کلمات کلیدی:
A robust image hash function based on color and texture features of ... ieeexplore.ieee.org/document/7377348/ by A Neelima - 2015 - Related articles As the internet grows, the amounts of digital data like images generated by the users are increasing in huge amount. Thus a mechanism is needed to manage l. [PDF]Robust image hashing based on color vector angle and Canny operator iranarze.ir/wp-content/uploads/2016/10/E148.pdf Robust image hashing based on color vector angle and Canny operator. Zhenjun Tanga,b,∗, Liyan Huanga,b, Xianquan Zhanga,b, Huan Laoa,b a Guangxi Key ... Robust image hashing using ring partition-PGNMF and local features https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5118381/ by RK Karsh - 2016 - Related articles Nov 21, 2016 - An image hashing technique based on ring partition and color vector angle has been proposed by Tang et al. (2016a, b). This method is robust ... Robust image hashing via colour vector angles and discrete wavelet ... digital-library.theiet.org/content/journals/10.1049/iet-ipr.2013.0332 by Z Tang - 2013 - Cited by 11 - Related articles Oct 21, 2013 - Colour vector angle has been widely used in edge detection and image retrieval, but its investigation in image hashing is still limited. [PPT]Robust Image Hashing Based on Color Vector Angle and Canny ... msn.iecs.fcu.edu.tw/report/download.php?id=28 Robust Image Hashing Based on Color Vector Angle and Canny Operator. Source: AEU-International Journal of Electronics and Communications (2016). A Robust Image Hash Function based on Color and ... - ResearchGate https://www.researchgate.net/.../284423097_A_Robust_Image_Hash_Function_based_o... Mar 18, 2017 - Contact 1 of the authors on ResearchGate · A Robust Image Hash Function based on Color and Texture Features of the Image. Robust image hash function using local color features (PDF Download ... https://www.researchgate.net/.../257584897_Robust_image_hash_function_using_local_... Official Full-Text Publication: Robust image hash function using local color features ... Robust Image Hashing Based on Color Vector Angle and Canny Operator. Robust Image Authentication in the Presence of Noise https://books.google.com/books?isbn=3319131567 Nataša Živić - 2015 - Technology & Engineering Lei Y, Wang Y, Huang J. Robust image hash in Radon transform domain for authentication. ... Zhao Y, Gu C, Wei W. Image hashing based on color histogram.
