A New Technique to Multiplex Stereo Images: LSB Watermarking and Hamming Code

Kerek, Bilal El; Baba, Hani El; Hassan, Moustapha El; Hassan, Bachar El

doi:10.1109/aims.2013.49

Cited by 6 publications

(4 citation statements)

References 1 publication

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“…Spatial domain and transform domain based watermarking techniques have been addressed in several papers [1]- [7]. To reduce computational complexity, in this paper simple embedding scheme is proposed.…”

Section: Time and Computational Complexity Of Embedding Algorithmmentioning

confidence: 99%

“…In general image watermarking algorithm should satisfy basic requirement such as robustness, transparency, computational complexity and stability etc [3]. Digital image watermarking can be broadly classified into spatial domain and transform domain watermarking [1]- [7]. In spatial domain watermarking schemes, watermark is embedded directly by modifying cover image pixels with watermark data.…”

Section: Introductionmentioning

confidence: 99%

“…Results show that compression improves perceptual quality of watermarked image. Block matching based LSB watermarking scheme is discussed in [7]. Watermark is encoded using Hamming code and embedded in cover image using LSB method.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Compressed Encrypted and Encoded Watermark Embedding Scheme for Digital Images

Rohith¹,

Sujatha²

2018

IJET

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In this research work a novel idea of compressed, encrypted and encoded watermark embedding scheme for digital images is proposed. Initially watermark is compressed using Huffman encoder. Compressed watermark is encrypted using combined binary key sequence {Ki} derived from sequence of logistic map and Lozi map. The compressed and encrypted binary watermark is encoded using (n,1) repetition code. This compressed, encrypted and encoded binary watermark is embedded in alternate locations of cover image pixels using of Least Significant Bit (LSB) and Second Least Significant Bit (SLSB). To study the watermarked image quality, parameters such as Signal to Noise Ratio (SNR) and Mean Square Error (MSE) are used. Also performance of the proposed system is compared with uncompressed, encrypted, encoded watermark embedding scheme. There is a significant improvement in MSE, SNR of watermarked image, when compressed watermark embedding scheme is compared to uncompressed watermark embedding scheme.

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Section: Time and Computational Complexity Of Embedding Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Novel Compressed Encrypted and Encoded Watermark Embedding Scheme for Digital Images

Rohith¹,

Sujatha²

2018

IJET

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“…Pada penelitian lain menggunakan LSB dan hamming code yang dilakukan oleh Bilal El Kerek [12] tahun 2013 terbukti meningkatkan nilai ketahanan citra disbanding hanya dengan menggunakan LSB saja. Pada penelitian yang telah kami lakukan menggunakan LSB dan Canny untuk mengamankan data citra, dalam hal ini algoritma Canny digunakan untuk menentukan koordinat penyisipan pesan.…”

Section: Gambar2 Penelitian Dengan Topik Image Watermarking Antara Tunclassified

Perlindungan Hak Cipta Pada Citra Digital Menggunakan Least Significant Bit Berbasis Deteksi Tepi Canny

Susanto

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Setiadi

et al. 2017

Simet

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ABSTRAKWatermarking merupakan salah satu ilmu penyembunyian data dengan tujuan untuk mengamankan citra, salah satunya yaitu copyright protection. Beberapa algoritma dalamwatermarking yang dikenal handal pada domain spasial salah satunya Least Significant Bit (LSB) yang diketahui telah diimplementasikan pada steganografi dan kriptografi. LSB mempunyai kelebihan dalam hal imperceptibility, dengan kata lain pada citra hasil embedding maupun extracting dengan citra asli tidak terdapat perbedaan secara kasat mata. Untuk meningkatkan imperceptibility ke dalam tingkat yang lebih tinggi maka LSB akan dikombinasikan dengan Canny. Kelebihan Canny yaitu tidak merubah persepsi dari citra yang diolah. Pada makalah ini, eksperimen dilakukan menggunakan citra grayscale berukuran 256x256 sejumlah masing-masing 4citra berformat *.bmp dengan pesan yang akan disisipkan berupa file *.txt. Hasil dari eksperimen menunjukkan nilai PSNR yang tinggi, dimana nilai PSNRhasil embedding dengan Canny hanya 53,8370 dB, sedangkan dengan mengimplementasikan LSB-Canny didapat nilai PSNR tertinggi 75,6510 dB. Perbedaan yang cukup jauh tersebut diakibatkan oleh penentuan lokasi embedding yang dilakukan oleh Canny. Perolehan nilai MSE yang mendekati 0 maka semakin bagus kualitas citra yang dihasilkan. NilaiMSE terbaik yang dihasilkan oleh LSB yaitu 0,2688 sedangkan pada LSB-Canny nilai MSE terbaik yaitu 0,0018. Kata kunci: watermarking, LSB, canny, citra grayscale, PSNR. ABSTRACT Watermarking is one of the concealment of data in order to secure the image, one of which is copyright protection. Several algorithms in watermarking are known to be reliable on spatial domains, one of them is Least Significant Bit (LSB) which is known to have been implemented in steganography and cryptography. LSB has advantages in terms of imperceptibility, in other words in the image

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Digital Watermarking Using Enhanced LSB Technique

Kumar

Jaishree

2017

Advances in Intelligent Systems and Computing

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A New Technique to Multiplex Stereo Images: LSB Watermarking and Hamming Code

Cited by 6 publications

References 1 publication

A Novel Compressed Encrypted and Encoded Watermark Embedding Scheme for Digital Images

A Novel Compressed Encrypted and Encoded Watermark Embedding Scheme for Digital Images

Perlindungan Hak Cipta Pada Citra Digital Menggunakan Least Significant Bit Berbasis Deteksi Tepi Canny

Digital Watermarking Using Enhanced LSB Technique

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