We present multiple-image encryption (MIE) based on compressive holography. In the encryption, a holographic technique is employed to record multiple images simultaneously to form a hologram. The two-dimensional Fourier data of the hologram are then compressed by nonuniform sampling, which gives rise to compressive encryption. Decryption of individual images is cast into a minimization problem....

Internet of Things plays a major role in improving the levels intelligence for several defense and military applications. There are myriads visual sensor nodes deployed various domain areas to acquire complete situational awareness. These must transmit real-time information obtained from multiple locations identify threats danger-prone zones. The keyframes should reach command control room conf...

introduction: high percentage of orchard products, such as apples, is wasted due to mechanical damages that cause fruit quality loss. damages due to static or dynamic pressure or impact are among very common mechanical damages that begin to bruise fruits. post-harvest bruise damage is a major cause for the loss in fruit quality. bruising means damaging fruit tissue and consequently physical cha...

Encryption is an efficient way to protect the contents of digital media. Arnold transform is a significant technique of image encryption, but has weaknesses in security and applications to images of any size. To solve these problems, we propose an image encryption scheme using Arnold transform and random strategies. It is achieved by dividing the image into random overlapping square blocks, gen...

Images excessively contribute to communication in this era of multimedia. When a user transfers images over an unsecured communication network, then the absolute protection is a challenging issue to conserve the confidentiality of images. Encryption is a method of retaining the secrecy of images. This paper provides the succinct introduction to the cryptography, moreover, includes a concise des...

In this study, a method based on using image processing and artificial neural network is introduced to determine pelt color and curl size of newborn lambs in Zandi sheep. The data was collected from 300 newborn lambs reared in the Zandi sheep breeding centre of Khojir, Tehran. Primarily, curl size and pelt color of new born lambs was recorded by experienced appraisers, and at the same time, sev...

background: nowadays, analyzing human facial image has gained ever-increasing importance due to its various applications. image segmentation is required as a very important and fundamental operation for significant analysis and interpretation of images. methods: among the segmentation methods, image thresholding technique is one of the most well-known methods due to its simplicity, robustness a...

Visual cryptography is a technique which combination of perfect ciphers and secret sharing in cryptography. A binary image can be divided into shares which can be stacked together to approximately recover the original image. Unfortunately, it has not been used much primarily because the decryption process entails a severe degradation in image quality in terms of loss of resolution and contrast....

the color images raise the level of educational by providing more detailed information; therefore, these images are believed to be effective in gaining a deeper understanding of the lessons. moreover, proper lighting enhances students’ learning and performance. this study aimed at assessing the impact of training color and light materials on elementary school girls’ attention and learning in pe...

In this paper an algorithm for multi-color image compression-encryption is introduced. For compression step fuzzy transform based on exponential b-spline function is used. In encryption step, a novel combination chaotic system based on Sine and Tent systems is proposed. Also in the encryption algorithm, 3D shift based on chaotic system is introduced. The simulation results and security analysis...