This research paper presents a novel digital color image encryption approach that ensures high-level security while remaining simple and efficient. The proposed method utilizes composite key r x of 128-bits to create small in-dimension private (a chaotic map), which is then resized match the matrix dimension. uncomplicated can be applied any without modification. Image quality, sensitivity anal...

In order to prevent unwanted access sensitive data by unauthorized individuals, color images are encoded. Because chaotic-deoxyribonucleic acid (chaotic-DNA) encoding can make information highly secure, it is often employed in image encryption. this study, a new encryption technique has been proposed based on 4D-chaotic system and DNA computing. The algorithm consists of two phases: the first p...

Cryptography has recently played a significant role in secure data transmissions and storages. Most conventional data encryption schemes are relatively complicated and complexity in encrypted keys is insufficient, resulting in long computational time and low degree of security against all types of attacks. Consequently, a highlysecured and robust data encryption scheme is necessary. This paper ...

Encryption is an important issue in information security which is usually provided using a reversible mathematical model. Digital image as a most frequently used digital product needs special encryption algorithms. This paper presents a new encryption algorithm high security for digital gray images using genetic algorithm and Lattice Map function. At the first the initial value of Logistic Map ...

In this work, three sub-processes are serially integrated into just one process in order to construct a robust new image encryption scheme for all types of images, especially color images. This integration architecture aims create avalanche effect property while respecting the constraints confusion and diffusion that have been identified by Claude Shannon as properties required secure scheme. T...

potato image segmentation is an important part of image-based potato defect detection. this paper presents a robust potato color image segmentation through a combination of a fuzzy rule based system, an image thresholding based on genetic algorithm (ga) optimization and morphological operators. the proposed potato color image segmentation is robust against variation of background, distance and ...

the kalut-e-ashrafa area is located in the north-east of ardakan area in central iran, yazd province. this area promises copper mineralization. the most of the minerals in this study area are silica-rich veins and veinlets. therefore, in order to identify geological formations with silica zones and to determine potential mineralization areas, aster images and remote sensing methods were used. a...