• Title/Summary/Keyword: Lossless Image Encryption

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Biometric Image Cryptographic Algorithm Based on the Property of Wavelet Transform Coefficient (웨이브렛 변환 계수의 특성을 이용한 생체 영상 암호화 알고리즘)

  • Shin, Jonghong
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.12 no.2
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    • pp.41-49
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    • 2016
  • Lossless encryption methods are more applicable than lossy encryption methods when marginal distortion is not tolerable. In this research, the author propose a novel lossless symmetric key encryption/decryption technique. In the proposed algorithm, the image is transformed into the frequency domain using the lifting wavelet transform, then the image sub-bands are encrypted in a such way that guarantees a secure, reliable, and an unbreakable form. The encryption involves scattering the distinguishable frequency data in the image using a reversible weighting factor amongst the rest of the frequencies. The algorithm is designed to shuffle and reverse the sign of each frequency in the transformed image before the image frequencies are transformed back to the pixel domain. The results show a total deviation in pixel values between the original and encrypted image. The decryption algorithm reverses the encryption process and restores the image to its original form. The proposed algorithm is evaluated using standard security and statistical methods; results show that the proposed work is resistant to most known attacks and more secure than other algorithms in the cryptography domain.

QuadTree-Based Lossless Image Compression and Encryption for Real-Time Processing (실시간 처리를 위한 쿼드트리 기반 무손실 영상압축 및 암호화)

  • Yoon, Jeong-Oh;Sung, Woo-Seok;Hwang, Chan-Sik
    • The KIPS Transactions:PartC
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    • v.8C no.5
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    • pp.525-534
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    • 2001
  • Generally, compression and encryption procedures are performed independently in lossless image compression and encryption. When compression is followed by encryption, the compressed-stream should have the property of randomness because its entropy is decreased during the compression. However, when full data is compressed using image compression methods and then encrypted by encryption algorithms, real-time processing is unrealistic due to the time delay involved. In this paper, we propose to combine compression and encryption to reduce the overall processing time. It is method decomposing gray-scale image by means of quadtree compression algorithms and encrypting the structural part. Moreover, the lossless compression ratio can be increased using a transform that provides an decorrelated image and homogeneous region, and the encryption security can be improved using a reconstruction of the unencrypted quadtree data at each level. We confirmed the increased compression ratio, improved encryption security, and real-time processing by using computer simulations.

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Improvement of the Multiple Image Encryption Capacity Using QR Code as a Data Container

  • Bai, Xing;Hu, Jianping;Yuan, Sheng;Wang, Jinchao;Wang, Jing;Zhou, Xin
    • Current Optics and Photonics
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    • v.4 no.4
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    • pp.302-309
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    • 2020
  • An image encryption scheme based on the quick response (QR) code as a data container has aroused wide interest due to the lossless recovery of the decrypted image. In this paper, we apply this method to multi-image encryption. However, since the decrypted image is affected by crosstalk noise, the number of multi-image encryptions is severely limited. To solve this problem, we analyzed the performance of QR code as a data container, and processed the decrypted QR code using the proposed method, so that the number of multi-image encryptions is effectively increased. Finally, we implemented a large image (256 × 256) encryption and decryption.

Image Cryptographic Algorithm Based on the Property of Wavelet Packet Transform (웨이브렛 패킷 변환의 특성을 이용한 영상 암호화 알고리즘)

  • Shin, Jonghong
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.14 no.2
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    • pp.49-59
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    • 2018
  • Encryption of digital images has been requested various fields. In the meantime, many algorithms based on a text - based encryption algorithm have been proposed. In this paper, we propose a method of encryption in wavelet transform domain to utilize the characteristics of digital image. In particular, wavelet transform is used to reduce the association between the encrypted image and the original image. Wavelet packet transformations can be decomposed into more subband images than wavelet transform, and various position permutation, numerical transformation, and visual transformation are performed on the coefficients of this subband image. As a result, this paper proposes a method that satisfies the characteristics of high encryption strength than the conventional wavelet transform and reversibility. This method also satisfies the lossless symmetric key encryption and decryption algorithm. The performance of the proposed method is confirmed by visual and quantitative. Experimental results show that the visually encrypted image is seen as a completely different signal from the original image. We also confirmed that the proposed method shows lower values of cross correlation than conventional wavelet transform. And PSNR has a sufficiently high value in terms of decoding performance of the proposed method. In this paper, we also proposed that the degree of correlation of the encrypted image can be controlled by adjusting the number of wavelet transform steps according to the characteristics of the image.

Encryption and Compression Design of The COMS

  • Seo Seok-Bae;Park Durk-Jong;Kang Chi-Ho;Ku In-Hoi;Ahn Sang-IL
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.264-267
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    • 2005
  • COMS (Communication, Ocean, and Meteorological Satellite) will be launch at end of year 2008. For speedy and security communication of COMS, KARl (Korea Aerospace Research Institute) decided encryption and compression design. Encryption design is based on DES (Data Encryption Standard), so that encryption key generation and management are important issues in COMS operation. And Compression is based on loss and lossless JPEG (Joint Photographic Export Group) standard. JPEG is one of generally using compression algorithm in image.

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