Implementation of an all-optical image compression architecture based on Fourier transform which will be the core principle in the realisation of the DCT

Falou, Ayman Al; Alkholidi, Abdulsalam

doi:10.1117/12.604881

Cited by 10 publications

(7 citation statements)

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“…An image is a 2-D representation of a three dimensional scene. Due to its large capacity data, huge redundancy and high similarities among pixels, there are several researchers [1][2][3][4][5][6][7] done lot of work for image compression for long period except for image encryption, From this, research papers we see that the compression performances are good.…”

Section: Introductionmentioning

confidence: 98%

Performance Analysis of CRT for Image Encryption

Rao¹

2016

IJCI

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With the fast advancements of information technology, the security of image data transmitted or stored over internet is become very difficult. To hide the details, an effective method is encryption, so that only authorized persons can decrypt the image with the keys available. Since the default features of digital image such as high capacity data, large redundancy and large similarities among pixels, the conventional encryption algorithms such as AES, , DES, 3DES, and Blow Fish, are not applicable for real time image encryption. This paper presents the performance of CRT for image encryption to secure storage and transmission of image over internet.

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Section: Introductionmentioning

confidence: 98%

Performance Analysis of CRT for Image Encryption

Rao¹

2016

IJCI

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“…As JPEG compression is based on the DCT which can be considered as a real Fourier transform and FT can be optically implemented using a simple convergent lens. Therefore, Alkholidi et al proved that DCT can be carried out using FFT [8,9]. In fact, by duplicating the target image (i.e.…”

Section: Introductionmentioning

confidence: 99%

“…Thanks to the advantages and simplicity of JPEG compression technique [8,9], Alkholidi et al successfully developed all optical set-up. As JPEG compression is based on the DCT which can be considered as a real Fourier transform and FT can be optically implemented using a simple convergent lens.…”

Section: Introductionmentioning

confidence: 99%

A new simultaneous compression and encryption method for images suitable to recognize form by optical correlation

et al. 2009

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In some recognition form applications (which require multiple images: facial identification or sign-language), many images should be transmitted or stored. This requires the use of communication systems with a good security level (encryption) and an acceptable transmission rate (compression rate). In the literature, several encryption and compression techniques can be found. In order to use optical correlation, encryption and compression techniques cannot be deployed independently and in a cascade manner. Otherwise, our system will suffer from two major problems. In fact, we cannot simply use these techniques in a cascade manner without considering the impact of one technique over another. Secondly, a standard compression can affect the correlation decision, because the correlation is sensitive to the loss of information. To solve both problems, we developed a new technique to simultaneously compress & encrypt multiple images using a BPOF optimized filter. The main idea of our approach consists in multiplexing the spectrums of different transformed images by a Discrete Cosine Transform (DCT). To this end, the spectral plane should be divided into several areas and each of them corresponds to the spectrum of one image. On the other hand, Encryption is achieved using the multiplexing, a specific rotation functions, biometric encryption keys and random phase keys. A random phase key is widely used in optical encryption approaches. Finally, many simulations have been conducted. Obtained results corroborate the good performance of our approach. We should also mention that the recording of the multiplexed and encrypted spectra is optimized using an adapted quantification technique to improve the overall compression rate.

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“…That's why, the need for compression and encryption is growing, and both compression and encryption have received increasing attention from researchers in the field of information security. So far, a large number of papers focusing on image compression [1][2][3][4] and image encryption [5][6] have been reported.…”

Section: Introductionmentioning

confidence: 99%

A Mixed Chaotic-cellular Automata Based Encryption Scheme for Compressed Jpeg Images

Beniani¹,

Faraoun²

2018

Journal of Multimedia Processing and Technologies

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In this paper, we propose a new scheme for joint compression and encryption of digital images, based on cellular automata and selective encryption of quantized DCT coefficient. Using a key stream by a cellular automata mechanism, a subset of quantized coefficients is selected and then ciphered with the produced pseudorandom key-stream. Thus, we achieve a sufficiently robust security level, mostly against known plaintext attacks while preserving a high compression ratio. Several performance analysis including security analysis, speed performances and compression ratio are performed, and demonstrate the efficacy of the proposed approach with respect to existing ones.

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Implementation of an all-optical image compression architecture based on Fourier transform which will be the core principle in the realisation of the DCT

Cited by 10 publications

References 0 publications

Performance Analysis of CRT for Image Encryption

Performance Analysis of CRT for Image Encryption

A new simultaneous compression and encryption method for images suitable to recognize form by optical correlation

A Mixed Chaotic-cellular Automata Based Encryption Scheme for Compressed Jpeg Images

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