Araştırma Makalesi
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Zigzag Dönüşümü ve Kanallar Arası Permütasyona Dayalı Bir Renkli Görüntü Karıştırma Yöntemi

Yıl 2022, Sayı: 36, 91 - 95, 31.05.2022
https://doi.org/10.31590/ejosat.1106823

Öz

Genel ağlar üzerinden paylaşılan renkli görüntülerin gizliliğini ve güvenliğini sağlamak zorlu bir iştir. Paylaşılan görüntünün gizliliğini korumak için görüntü şifreleme yöntemleri kullanılabilir. Uzamsal alan tabanlı görüntü şifrelemenin bir parçası olarak, karıştırma işlemi, bitişik pikseller arasındaki korelasyonu azaltır. Ayrıca, bir renkli görüntünün farklı kanalları arasındaki korelasyon, kanallar arası bir permütasyon ile azaltılabilir. Bu makale zikzak dönüşümüne ve çapraz kanal permütasyonuna dayanan yeni bir görüntü karıştırma yöntemi sunmaktadır. İlk olarak renkli bir görüntünün kırmızı, yeşil ve mavi kanallarına zikzak dönüşümü uygulanır. Kanallar arası permütasyon gerçekleştirmek için gerekli parametreler kaotik bir çadır haritası ile elde edilir. Çapraz kanal permütasyonu, farklı kanallar arasında piksellerin değiştirilmesini sağlar. Önerilen yöntemin performans ölçümleri, bir RGB görüntüsünün korelasyon katsayılarının önemli ölçüde azaltılabileceğini göstermektedir. Bu yöntemle her kanalın bilgi entropisi de büyük ölçüde artırılır. 256 x 256 renkli bir görüntü için ortalama yürütme süresinin 0.08 s'den az olduğu tespit edilmiştir ve bu da önerilen yöntemin görüntü şifreleme uygulamalarında kullanılabileceğini göstermektedir.

Kaynakça

  • Gao, H., & Wang, X. (2021). Chaotic Image Encryption Algorithm Based on Zigzag Transform With Bidirectional Crossover From Random Position. IEEE Access, 9, 105627-105640. doi:10.1109/ACCESS.2021.3099214
  • Kanso, A. (2011). Self-shrinking chaotic stream ciphers. Communications in Nonlinear Science and Numerical Simulation, 16(2), 822-836. doi:https://doi.org/10.1016/j.cnsns.2010.04.039
  • Kaur, M., & Kumar, V. (2020). A Comprehensive Review on Image Encryption Techniques. Archives of Computational Methods in Engineering, 27(1), 15-43. doi:10.1007/s11831-018-9298-8
  • Li, C., Luo, G., Qin, K., & Li, C. (2017). An image encryption scheme based on chaotic tent map. Nonlinear Dynamics, 87(1), 127-133. doi:10.1007/s11071-016-3030-8
  • Li, Y., Wang, C., & Chen, H. (2017). A hyper-chaos-based image encryption algorithm using pixel-level permutation and bit-level permutation. Optics and Lasers in Engineering, 90, 238-246. doi:https://doi.org/10.1016/j.optlaseng.2016.10.020
  • Li, Z., Peng, C., Tan, W., & Li, L. (2020). A Novel Chaos-Based Color Image Encryption Scheme Using Bit-Level Permutation. symmetry, 12(9), 1497. doi:https://doi.org/10.3390/sym12091497
  • Muthu, J. S., & Murali, P. (2021). Review of Chaos Detection Techniques Performed on Chaotic Maps and Systems in Image Encryption. SN Computer Science, 2(5), 392. doi:10.1007/s42979-021-00778-3
  • Ramasamy, P., Ranganathan, V., Kadry, S., Damaševičius, R., & Blažauskas, T. (2019). An Image Encryption Scheme Based on Block Scrambling, Modified Zigzag Transformation and Key Generation Using Enhanced Logistic—Tent Map. entropy, 21(7). doi:10.3390/e21070656
  • Wang, X., & Chen, X. (2021). An image encryption algorithm based on dynamic row scrambling and Zigzag transformation. Chaos, Solitons & Fractals, 147, 110962. doi:https://doi.org/10.1016/j.chaos.2021.110962
  • Xingyuan, W., Junjian, Z., & Guanghui, C. (2019). An image encryption algorithm based on ZigZag transform and LL compound chaotic system. Optics & Laser Technology, 119, 105581. doi:https://doi.org/10.1016/j.optlastec.2019.105581
  • Zhang, X., & Gong, Z. (2022). Color image encryption algorithm based on 3D Zigzag transformation and view planes. Multimedia Tools and Applications. doi:10.1007/s11042-022-13003-x

A Color Image Scrambling Method Based on Zigzag Transform and Cross-channel Permutation

Yıl 2022, Sayı: 36, 91 - 95, 31.05.2022
https://doi.org/10.31590/ejosat.1106823

Öz

It is a challenging task to maintain the privacy and security of color images that are shared over public networks. To address this challenge, image encryption methods can be used to protect the confidentiality of the shared image. As a part of spatial domain-based image encryption, the scrambling process aims to reduce the correlation between adjacent pixels. Furthermore, the correlation between different channels of an RGB color image can be decreased by applying a cross-channel permutation. To achieve both decorrelations, this paper presents a new image scrambling method that is based on zigzag transform and cross-channel permutation. Firstly, a color image’s red, green, and blue channels are obtained, and the zigzag transform is applied to each channel, respectively. The transformed channels are concatenated for further shuffling. A chaotic tent map is employed to create the necessary parameters to perform cross-channel permutation. The cross-channel permutation ensures swapping pixels between different channels. Performance measures of the proposed method show that the correlation coefficients of an RGB image can be significantly reduced. The information entropy of each channel is also greatly increased with this method. The average execution time is found to be less than 0.08 s for a 256 x 256 color image, indicating that the proposed method can be used in image encryption applications.

Kaynakça

  • Gao, H., & Wang, X. (2021). Chaotic Image Encryption Algorithm Based on Zigzag Transform With Bidirectional Crossover From Random Position. IEEE Access, 9, 105627-105640. doi:10.1109/ACCESS.2021.3099214
  • Kanso, A. (2011). Self-shrinking chaotic stream ciphers. Communications in Nonlinear Science and Numerical Simulation, 16(2), 822-836. doi:https://doi.org/10.1016/j.cnsns.2010.04.039
  • Kaur, M., & Kumar, V. (2020). A Comprehensive Review on Image Encryption Techniques. Archives of Computational Methods in Engineering, 27(1), 15-43. doi:10.1007/s11831-018-9298-8
  • Li, C., Luo, G., Qin, K., & Li, C. (2017). An image encryption scheme based on chaotic tent map. Nonlinear Dynamics, 87(1), 127-133. doi:10.1007/s11071-016-3030-8
  • Li, Y., Wang, C., & Chen, H. (2017). A hyper-chaos-based image encryption algorithm using pixel-level permutation and bit-level permutation. Optics and Lasers in Engineering, 90, 238-246. doi:https://doi.org/10.1016/j.optlaseng.2016.10.020
  • Li, Z., Peng, C., Tan, W., & Li, L. (2020). A Novel Chaos-Based Color Image Encryption Scheme Using Bit-Level Permutation. symmetry, 12(9), 1497. doi:https://doi.org/10.3390/sym12091497
  • Muthu, J. S., & Murali, P. (2021). Review of Chaos Detection Techniques Performed on Chaotic Maps and Systems in Image Encryption. SN Computer Science, 2(5), 392. doi:10.1007/s42979-021-00778-3
  • Ramasamy, P., Ranganathan, V., Kadry, S., Damaševičius, R., & Blažauskas, T. (2019). An Image Encryption Scheme Based on Block Scrambling, Modified Zigzag Transformation and Key Generation Using Enhanced Logistic—Tent Map. entropy, 21(7). doi:10.3390/e21070656
  • Wang, X., & Chen, X. (2021). An image encryption algorithm based on dynamic row scrambling and Zigzag transformation. Chaos, Solitons & Fractals, 147, 110962. doi:https://doi.org/10.1016/j.chaos.2021.110962
  • Xingyuan, W., Junjian, Z., & Guanghui, C. (2019). An image encryption algorithm based on ZigZag transform and LL compound chaotic system. Optics & Laser Technology, 119, 105581. doi:https://doi.org/10.1016/j.optlastec.2019.105581
  • Zhang, X., & Gong, Z. (2022). Color image encryption algorithm based on 3D Zigzag transformation and view planes. Multimedia Tools and Applications. doi:10.1007/s11042-022-13003-x
Toplam 11 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Makaleler
Yazarlar

Mehmet Demirtas 0000-0002-9018-3124

Erken Görünüm Tarihi 11 Nisan 2022
Yayımlanma Tarihi 31 Mayıs 2022
Yayımlandığı Sayı Yıl 2022 Sayı: 36

Kaynak Göster

APA Demirtas, M. (2022). A Color Image Scrambling Method Based on Zigzag Transform and Cross-channel Permutation. Avrupa Bilim Ve Teknoloji Dergisi(36), 91-95. https://doi.org/10.31590/ejosat.1106823