Forbidden zone data hiding

2006-10-11
A new blind data hiding method is proposed based on a novel concept of forbidden zone, where no alteration is allowed in a host signal during message embedding step. Depending on the desired probability of error, the range of the forbidden zone varies, as a compromise between robustness and embedding distortion. Hence, the proposed method makes use of this zone through a single control parameter in conjunction with modulating quantizers for message embedding. The superiority of the proposed scheme over QIM is presented theoretically, as well empirically via simulations. The method is further compared with DC-QIM and its weaknesses and strengths are stated.

Suggestions

Partial encryption of video for communication and storage
Yüksel, Turan; Yarman Vural, Fatoş Tunay; Akar, Gözde Bozdağı; Department of Computer Engineering (2003)
In this study, a new method is proposed to protect video data through partial encryption. Unlike previous methods, the bit rate of the encrypted portion can be controlled. In order to accomplish this task, a simple model for the time to break the partial encryption by a chipertext-only attack is defined. Then, the encrypted bit budget distribution strategy maximizing the time subject to the bitrate constraint is found. An algorithm to estimate the model parameters is constructed and it isthen implemented ov...
ARMA model based clutter estimation and its effect on clutter supression algorithms
Tanrıverdi, Güneş; Koç, Seyit Sencer; Department of Electrical and Electronics Engineering (2012)
Radar signal processing techniques aim to suppress clutter to enable target detection. Many clutter suppression techniques have been developed to improve the detection performance in literature. Among these methods, the most widely known is MTI plus coherent integrator, which gives sufficient radar performance in various scenarios. However, when the correlation coefficient of clutter is small or the spectral separation between the target and clutter is small, classical approaches to clutter suppression fall...
Real-time traffic sign detection and recognition on FPGA
Yalçın, Hüseyin; Bulut, Mehmet Mete; Akar, Gözde; Department of Electrical and Electronics Engineering (2013)
In this thesis, an embedded system for traffic sign detection and recognition is proposed. Proposed system is first designed in MATLAB and optimized. After optimization process, system design is transferred to FPGA and Virtex-V FX70 FPGA is selected for implementation platform. 640x480 sized image in RGB format is sent to FPGA system via computer interface. This image is segmented for red, blue, and yellow colors. Red and blue color maps are divided into 8x8 sub-blocks. Yellow color map is divided into 32x3...
Quantization index modulation based watermarking using holography
Okman, O. Erman; Akar, Gözde (2006-08-16)
In this paper, we propose a blind watermarking method where watermark is chosen as the hologram of the signal to be embedded. In the proposed approach the quantized phase of the hologram is embedded into an image using quantization index modulation (QIM). The robustness of the proposed technique is tested against several attacks such as filtering, compression, occlusion and cropping. Also the effects of quantization of the hologram on the reconstruction quality are demonstrated. © (2006) COPYRIGHT Society o...
Occlusion-aware 3-D multiple object tracking for visual surveillance
Topçu, Osman; Alatan, Abdullah Aydın; Ercan, Ali Özer; Department of Electrical and Electronics Engineering (2013)
This thesis work presents an occlusion-aware particle filter framework for online tracking of multiple people with observations from multiple cameras with overlapping fields of view for surveillance applications. Surveillance problem involves inferring motives of people from their actions, deduced from their trajectories. Visual tracking is required to obtain these trajectories and it is a challenging problem due to motion model variations, size and illumination changes and especially occlusions between mov...
Citation Formats
E. Esen and A. A. Alatan, “Forbidden zone data hiding,” 2006, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/41553.