In recent years, searching and retrieving relevant images from large databases has become an emerging challenge for the researcher. Hashing methods that mapped raw data into a short binary code have attracted increasing attention Most existing hashing approaches map samples to vector via single linear projection, which restricts flexibility of those leads optimization problems. We introduce CNN...

This paper presents a cryptographic technique that encrypts secret information using a coding image by transforming the pixels of this image from the intensity domain to the characters domain using a hash function. In the proposed technique, the coding image will be used to encrypt the secret information at the sender and decrypt it at the receiver using the pixels whose intensity values are tr...

Although traditionally binary visual representations are mainly designed to reduce computational and storage costs in the image retrieval research, this paper argues that binary visual representations can be applied to large scale recognition and detection problems in addition to hashing in retrieval. Furthermore, the binary nature may make it generalize better than its real-valued counterparts...

Hyperspectral images are one of the most important fundamental and strategic information resources, imaging the same ground object with hundreds of spectral bands varying from the ultraviolet to the microwave. With the emergence of huge volumes of high-resolution hyperspectral images produced by all sorts of imaging sensors, processing and analysis of these images requires effective retrieval t...