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Saeed Sarreshtedari

Publications

Citations

105

Publications by Year

20092021

Co-Authors:

Aliazam AbbasfarMohammad Ali AkhaeeSaeed AkhavanShahrokh GhaemmaghamiMohsen Ghotbi

Show All Co-Authors (7)

Saeed Sarreshtedari

Affiliation

School of Electrical and Computer Engineering

College of Engineering

University of Tehran, Tehran, Iran

Publication Topics

Digital Watermarking,
Forward Error Correction,
Discrete Cosine Transform,
Least Significant Bit,
Most Significant Bit,
Output Bits,
Reed-Solomon Codes,
Secret Key,
Source Code,
Bitstream,
Block Size,
Compression Algorithm

Biography

Saeed Sarreshtedari was born in 1985 in Iran. He received the B.Sc. degree in electrical engineering in 2007, and M.Sc. degree in communications security in 2009, from Sharif University of Technology, Tehran, Iran. He is currently pursuing his Ph.D. degree in communications systems at University of Tehran, Iran. His research interests include multimedia security, information hiding, watermarking, image, speech and video processing, radar systems, and array processing.(Based on document published on 14 July 2015).

Publications

Citations

105

Publications by Year

20092021

Co-Authors:

Aliazam Abbasfar
Mohammad Ali Akhaee
Saeed Akhavan
Shahrokh Ghaemmaghami
Mohsen Ghotbi

Show All Co-Authors (7)

Author's Published Works

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Showing 1-9 of 9 results

Conferences (7)

Journals (2)

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Single Year
Saeed Sarreshtedari(9)
Mohammad Ali Akhaee(6)
Shahrokh Ghaemmaghami(3)
Aliazam Abbasfar(2)
Mohsen Ghotbi(2)
Sharif University of Technology, Tehran, Iran(3)
Department of Electrical and Computer Engineering, University of Tehran, Tehran, Iran(2)
School of Electrical and Computer Eng., University of Tehran, Tehran, Iran(1)
University of Tehran, Tehran, Tehran, IR(1)
School of Electrical and Computer Eng, University of Tehran, Tehran, Iran(1)
2009 IEEE International Conference on Multimedia and Expo(1)
2009 IEEE/ACS International Conference on Computer Systems and Applications(1)
2010 7th IEEE Consumer Communications and Networking Conference(1)
2014 22nd European Signal Processing Conference (EUSIPCO)(1)
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)(1)
IEEE(9)
Florence, Italy(1)
Isfahan, Iran, Islamic Republic of(1)
Las Vegas, NV, USA(1)
Lisbon, Portugal(1)
New York, NY, USA(1)
Cover Image(5)
Discrete Cosine Transform(5)
Least Significant Bit(5)
Digital Watermarking(4)
Forward Error Correction(4)

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Optimum Group Pixel Matching Strategies for Image Steganography

Alireza Shahanaghi;Mohammad Ali Akhaee;Saeed Sarreshtedari;Ramin Toosi

2021 18th International ISC Conference on Information Security and Cryptology (ISCISC)

Year: 2021 | Conference Paper |

Cited by: Papers (1)

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LSB matching techniques are widely applied in the field of image steganography. In such algorithms, pixel values of each group must be changed in a way that a predefined function of the pixel group matches the secret digit. The notational system of the secret digits can be every desired number, as well as the size of the pixel groups. In order to preserve the quality of the stego image, it is desi...Show More

Optimum Group Pixel Matching Strategies for Image Steganography

Alireza Shahanaghi;Mohammad Ali Akhaee;Saeed Sarreshtedari;Ramin Toosi

2021 18th International ISC Conference on Information Security and Cryptology (ISCISC)

Year: 2021 | Conference Paper |

Digital image self-recovery using unequal error protection

Saeed Sarreshtedari;Mohammad Ali Akhaee;Aliazam Abbasfar

2015 23rd European Signal Processing Conference (EUSIPCO)

Year: 2015 | Conference Paper |

Cited by: Papers (2)

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In this paper, an unequal error protection (UEP)-based scheme is presented to generate tamper-proof images, in which the lost content of the original image is recoverable despite the malicious tampering. For this purpose, a representation of the original image is embedded into itself, after being protected by the proper channel coding. Since better protection is considered for the more important b...Show More

Digital image self-recovery using unequal error protection

Saeed Sarreshtedari;Mohammad Ali Akhaee;Aliazam Abbasfar

2015 23rd European Signal Processing Conference (EUSIPCO)

Year: 2015 | Conference Paper |

A Watermarking Method for Digital Speech Self-Recovery

Saeed Sarreshtedari;Mohammad Ali Akhaee;Aliazam Abbasfar

IEEE/ACM Transactions on Audio, Speech, and Language Processing

Year: 2015 | Volume: 23, Issue: 11 | Journal Article |

Cited by: Papers (13)

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Authentication and tampering detection of the digital signals is one of the main applications of the digital watermarking. Recently, watermarking algorithms for digital images are developed to not only detect the image tampering, but also to recover the lost content to some extent. In this paper, a new watermarking scheme is introduced to generate digital self-embedding speech signals enjoying the...Show More

A Watermarking Method for Digital Speech Self-Recovery

Saeed Sarreshtedari;Mohammad Ali Akhaee;Aliazam Abbasfar

IEEE/ACM Transactions on Audio, Speech, and Language Processing

Year: 2015 | Volume: 23, Issue: 11 | Journal Article |

A Source-Channel Coding Approach to Digital Image Protection and Self-Recovery

Saeed Sarreshtedari;Mohammad Ali Akhaee

IEEE Transactions on Image Processing

Year: 2015 | Volume: 24, Issue: 7 | Journal Article |

Cited by: Papers (55) | Patents (2)

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Watermarking algorithms have been widely applied to the field of image forensics recently. One of these very forensic applications is the protection of images against tampering. For this purpose, we need to design a watermarking algorithm fulfilling two purposes in case of image tampering: 1) detecting the tampered area of the received image and 2) recovering the lost information in the tampered z...Show More

A Source-Channel Coding Approach to Digital Image Protection and Self-Recovery

Saeed Sarreshtedari;Mohammad Ali Akhaee

IEEE Transactions on Image Processing

Year: 2015 | Volume: 24, Issue: 7 | Journal Article |

Universal image steganalysis based on GARCH model

Saeed Akhavan;Mohammad Ali Akhaee;Saeed Sarreshtedari

2014 22nd European Signal Processing Conference (EUSIPCO)

Year: 2014 | Conference Paper |

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This paper introduces a new universal steganalysis framework. The required image features are extracted based on the generalized autoregressive conditional heteroskedasticity (GARCH) model and higher-order statistics of the images. The GARCH features are extracted from non-approximate wavelet coefficients. Besides, the second and third order statistics are exploited to develop features very sensit...Show More

Universal image steganalysis based on GARCH model

Saeed Akhavan;Mohammad Ali Akhaee;Saeed Sarreshtedari

2014 22nd European Signal Processing Conference (EUSIPCO)

Year: 2014 | Conference Paper |

Source-channel coding approach to generate tamper-proof images

Saeed Sarreshtedari;Mohammad Ali Akhaee

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Year: 2014 | Conference Paper |

Cited by: Papers (6)

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Watemarking the original images to protect them against tampering has recently attracted an overgrowing interest. Recent works in this field offer algorithms that not only localize the tampering, but also recover the original content in the lost area. In this paper, we show that this self-restoration problem can be modeled as a source-channel coding problem. The original image is compressed using ...Show More

Source-channel coding approach to generate tamper-proof images

Saeed Sarreshtedari;Mohammad Ali Akhaee

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Year: 2014 | Conference Paper |

High Capacity Image Steganography in Wavelet Domain

Saeed Sarreshtedari;Shahrokh Ghaemmaghami

2010 7th IEEE Consumer Communications and Networking Conference

Year: 2010 | Conference Paper |

Cited by: Papers (15)

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A new high capacity method for transform domain image steganography is introduced in this paper. The proposed steganography algorithm works on the wavelet transform coefficients of the original image to embed the secret data. As compared to current transform domain data hiding methods, this scheme can provide a larger capacity for data hiding without sacrificing the cover image quality. This is ac...Show More

High Capacity Image Steganography in Wavelet Domain

Saeed Sarreshtedari;Shahrokh Ghaemmaghami

2010 7th IEEE Consumer Communications and Networking Conference

Year: 2010 | Conference Paper |

One-third probability embedding: Less detectable LSB steganography

Saeed Sarreshtedari;Mohsen Ghotbi;Shahrokh Ghaemmaghami

2009 IEEE International Conference on Multimedia and Expo

Year: 2009 | Conference Paper |

Cited by: Papers (11)

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This paper introduces a new method for the least significant bit (LSB) steganography in spatial domain. The new method, called one-third LSB embedding, reduces the probability of change per pixel to one-third without sacrificing the embedding capacity, as compared to previous LSB steganography techniques. This improvement results in a better imperceptibility and higher robustness against well know...Show More

One-third probability embedding: Less detectable LSB steganography

Saeed Sarreshtedari;Mohsen Ghotbi;Shahrokh Ghaemmaghami

2009 IEEE International Conference on Multimedia and Expo

Year: 2009 | Conference Paper |

On the effect of spatial to compressed domains transformation in LSB-based image steganography

Saeed Sarreshtedari;Mohsen Ghotbi;Shahrokh Ghaemmaghami

2009 IEEE/ACS International Conference on Computer Systems and Applications

Year: 2009 | Conference Paper |

Cited by: Papers (2)

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This paper introduces an efficient scheme to image steganography by introducing the hidden message (payload) insertion in spatial domain and transforming the stego-image to compressed domain. We apply a recently-proposed LSB method in order to obtain better statistical behavior of the stego-message and subsequently, the obtained stego-image is transformed and quantized in order to enhance the secu...Show More

On the effect of spatial to compressed domains transformation in LSB-based image steganography

Saeed Sarreshtedari;Mohsen Ghotbi;Shahrokh Ghaemmaghami

2009 IEEE/ACS International Conference on Computer Systems and Applications

Year: 2009 | Conference Paper |

Author details

Saeed Sarreshtedari

Saeed Sarreshtedari

Affiliation

Publication Topics

Biography

Showing 1-9 of 9 results

Show

Optimum Group Pixel Matching Strategies for Image Steganography

Optimum Group Pixel Matching Strategies for Image Steganography

Digital image self-recovery using unequal error protection

Digital image self-recovery using unequal error protection

A Watermarking Method for Digital Speech Self-Recovery

A Watermarking Method for Digital Speech Self-Recovery

A Source-Channel Coding Approach to Digital Image Protection and Self-Recovery

A Source-Channel Coding Approach to Digital Image Protection and Self-Recovery

Universal image steganalysis based on GARCH model

Universal image steganalysis based on GARCH model

Source-channel coding approach to generate tamper-proof images

Source-channel coding approach to generate tamper-proof images

High Capacity Image Steganography in Wavelet Domain

High Capacity Image Steganography in Wavelet Domain

One-third probability embedding: Less detectable LSB steganography

One-third probability embedding: Less detectable LSB steganography

On the effect of spatial to compressed domains transformation in LSB-based image steganography

On the effect of spatial to compressed domains transformation in LSB-based image steganography

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