A Comprehensive Survey of Video Encryption Algorithms

Hooda, Darshana; Singh, Parvinder

doi:10.5120/9512-3902

Cited by 6 publications

(4 citation statements)

References 31 publications

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“…Anat Levin, Assaf Zomet, Shmuel Peleg, and Yair Weiss GIST: Gradient Domain Image stitching (GIST 1, GIST 2) This method brings in a new way of obtaining mosaic images, i-e. using cost functions [3]. These cost functions are optimized to get greater similarity of mosaic with the input images and also the least visibility of seam.…”

Section: Richard Szeliski Optical Seammentioning

confidence: 99%

Optimizing Image Stitching for Panoramic View

Arora¹,

Singh²

2016

IJERT

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Image Stitching or mosaicing is an important aspect of research in the field of computer vision. It involves various techniques of joining images together to form a mosaic of high resolution. Stitching images generally require complete overlap in order to generate high resolution panoramas. As these panoramas become increasingly popular, there arises a need for the software to create mosaics. These mosaics are used for variety of applications like in digital maps and satellite photos. In recent years various techniques have been generated to do stitching in order to obtain data from images. Such techniques which have been used to successfully combine images are discussed in this paper.

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Section: Richard Szeliski Optical Seammentioning

confidence: 99%

Optimizing Image Stitching for Panoramic View

Arora¹,

Singh²

2016

IJERT

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“…Video encrypting algorithms are classified into five categories according to the approach of encryption information which are fully (completely) layered encryption, scrambling base encrypting, selective encryption, perceptual encryption, and chaotic encryption [7]. As explained from this classification, it has been proved that the completely layered video encryption has produced the highest level of video security, but it was computationally expensive because of its slow nature in processing the very large volume of video data and has in return limited its use in video encryption [8].…”

Section: Introductionmentioning

confidence: 99%

A Proposal Video Encryption Using Light Stream Algorithm

Alawi

Hassan²

2021

ETJ

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Video encrypting is one technique to protect digital videos, it used to avoid unwanted interference and viewing of the transmitted videos. In this paper, a new selective video cryptography algorithm is suggested using light stream algorithm. As it known video size is large in size and it consume time in the encryption process, ChaCha a light encryption algorithm has been used to reduce the encryption time, encryption is done by Xoring frames of video with the key generated from ChaCha algorithm, it produced an acceptable results from robustness point view, but still encryption process consumed time, thus to speed up this process, feature detection operator (FAST) is used to encrypt key points result from FAST operator, in addition key points from this is increased to optimized between speed and robustness of proposed algorithm. In evaluation process, some of measuring quality factors MSE, PSNR, Correlation, NPCR, UACI and entropy are specified for evaluating and comparing between two suggested encryption algorithms which gave good result in encryption process (ChaCha and ChaCha with FAST Enhancement). Experimental results have discovered that the current projected has less encrypting time and better encrypting influence.

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“…Aside from the fact that images require the less cognitive load to understand, a digital image can produce at a glance information that can be spread across about ten pages in a book [3]. However, owing to the rapid developments in the efficient internet technologies and compression techniques the need for securing digital images during transmission and storage cannot be overemphasized [1], [4]- [7]. The main idea behind image security includes confidentiality, authentication, conditional access, integrity, content tracking, and copy control [7]- [9].…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of gray code number system in image security

Babatunde

Jimoh

Oshodi

et al. 2019

Jurnal Teknologi dan Sistem Komputer

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The encryption of digital images has become essential since it is vulnerable to interception while being transmitted or stored. A new image encryption algorithm to address the security challenges of traditional image encryption algorithms is presented in this research. The proposed scheme transforms the pixel information of an original image by taking into consideration the pixel location such that two neighboring pixels are processed via two separate algorithms. The proposed scheme utilized the Gray code number system. The experimental results and comparison shows the encrypted images were different from the original images. Also, pixel histogram revealed that the distribution of the plain images and their decrypted images have the same pixel histogram distributions, which means that there is a high correlation between the original images and decrypted images. The scheme also offers strong resistance to statistical attacks.

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A Comprehensive Survey of Video Encryption Algorithms

Cited by 6 publications

References 31 publications

Optimizing Image Stitching for Panoramic View

Optimizing Image Stitching for Panoramic View

A Proposal Video Encryption Using Light Stream Algorithm

Performance analysis of gray code number system in image security

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