3 results about "Semi blind" patented technology

The application belongs to the technical field of image copyright confirmation and information security guarantee, and particularly relates to a semi-blind watermarking method and system based on a sound-image watermark synchronous embedding algorithm of SWT, which comprises the following steps: based on a phase truncation algorithm and a complex function algorithm, sound-image watermarks are synchronously embedded into a host image to be embedded with watermarks to obtain a watermark embedding image; the sound-image watermarks embedded in the watermark embedding image are synchronously extracted to obtain the embedded sound-image watermarks, thereby realizing the synchronous extraction of the sound-image watermarks. The application realizes the functions of sound-image watermark synchronous embedding and extraction, and guarantees the invisibility and robustness of the watermark system.

The application discloses a noise adaptive video denoising method based on semi-blind estimation. The method comprises the following steps: (1) constructing a semi-blind noise analysis neural network module based on a physical noise model; (2) constructing a video dataset containing heterodistribution noise, and pre-training the semi-blind noise analysis neural network module; (3) constructing a cyclic time large-span video denoising neural network module; (4) cascading the semi-blind noise analysis neural network module and the video denoising neural network module, and performing end-to-end training on the cascaded module using the video dataset containing heterodistribution noise. The application is based on the semi-blind noise analysis module, and the distribution parameter analysis and estimation of the heterodistribution noise are performed, and the distribution parameter is used to guide the video denoising module to process different camera heterodistribution noise, so that the adaptability and generalization of the video denoising algorithm in different cameras are fully improved.

This invention discloses a semi-blind direct localization method for thermal noise communication systems, comprising: based on the frequency domain received signal model of the thermal noise communication system, utilizing the statistical characteristics of the received signal to construct a maximum likelihood estimation problem concerning the mobile station position and channel fading coefficient, obtaining an objective function containing logarithmic determinant terms and trace function terms of a matrix; the objective function simultaneously includes a contribution from pilot power and an expected contribution from the power of the received data signal; using an optimization minimization algorithm framework, alternately solving for the mobile station position and channel fading coefficient until a preset convergence condition is met, obtaining the localization result; wherein, by constructing a substitution function containing the statistical characteristics of blind pilots and data, a closed-form solution for the channel parameters is derived in each iteration, and the mobile station position is updated through a two-dimensional grid search. This invention mines the statistical information of the data portion, effectively improving the utilization rate of the received signal and increasing the localization accuracy under low signal-to-noise ratio conditions.