Binary image

An Introduction to Visual Cryptography for Binary Images Okechukwu Ikoro 7061018 INSE 6110  Abstract Visual Cryptography is a type of cryptographic scheme used to hide a secret image in shadow images called shares or layers such that it can’t be decrypted using the human visual system unless certain qualified subsets of the shares are used. The secret image is encoded without the use of any cryptographic computations. The topic of visual cryptography is a broad one with many fields however in this

Abstract—This paper involves the work done in the field of development of secure and better cryptographic algorithms for digital data like images. The paper presents a technique and its application in binary plane decomposition and two image encryption schemes. One scheme is simple and other provides high security. This proposed work achieves lossless image encryption. The paper has been carried out by dividing into five subsections: i) Introduction, ii) Literature Review iii) Proposed Methodology

REVIEW ON IMAGE PROCESSING USED IN HAEMOTOLOGY Abstract- In medical analysis blood cell count plays vital role. Variations in the count of blood cells cause many diseases in the human body. For overall health assessment and diagnosis of many disorders complete blood count is required. Abnormal increase or decrease in cell count indicates that person has indispensable medical condition. The Complete Blood Count (CBC) is a blood test, extensively used to check various disorders such as infections,

\subsection{Local Binary Pattern} Local Binary Patterns (LBP) is on of well-know descriptor used for pattern recognition \cite{G1}. LBP describes textures features of the image. It divided into two different descriptors: (1) local descriptors and (2) global descriptor. The global descriptor used for separating the non objects blocks, while the local provides detailed objects information which can be used in recognition application. It is mathematically calculated through dividing the image into blocks

wounds or soothing pain” (OED “balsam”). In a sense, “balsam” is synesthetic, as it evokes both senses of sight and smell. As a perfume, it suggests the permeating traces of femininity through scent, and as a medicinal ointment, it conjures a hopeful image that the crippling effects of patriarchy on the female body

Authors proposed a synchronization tech unique to recover geometrically attacked image via. Detection of desired image corner. 38 [4] Sayyed Mohammad Hosseini (2016) et. al. present that In this paper a new method for detection of camera tampering is proposed. Some examples for

weight of the lithography stones, the acid bath of etchings, and the carving of woodcuts do not allow for any other orientation. Furthermore, presses are always kept horizontal; any other orientation would not create enough pressure to transfer the image to paper. Rauschenberg’s affinity for lithography (I am suggesting) is foreshadowed in his Combines as well as in his early indexical works. In fact, it can be asserted that critical concerns like the flatbed and the index better suit his lithographs

Authors proposed a synchronization tech unique to recover geometrically attacked image via. Detection of desired image corner. 38 [4] Sayyed Mohammad Hosseini (2016) et. al. present that In this paper a new method for detection of camera tampering is proposed. Some examples for

III. NEIGHBORHOOD OF PIXEL. In Image processing, Image can be defined as a connection on number of pixels. A pixel P can be represented as P (x, y) where, x, y are the coordinates of the pixel. There are two main classifications in an image 1) 2 - Dimensional. 2) 3 - Dimensional. In 2- Dimensional image, there will be only two coordinates x and y. whereas, in 3- Dimensional there will be a z- axis too. The connection types vary in each model. 2-D image consists of pixels that are connected

According to principles explained by Jacques Derrida, binary opposition is the means by which the units of language have value or meaning; each unit is defined in reciprocal determination with another term. Derrida adds that, “for each center, an opposing center exists” (Bressler, 110). For example, “we know truth, because we know deception; we know good because we know bad” (Bressler, 111). Joseph Conrad and Oscar Wilde’s use of the binary opposition of light/dark within The Picture of Dorian Gray