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105results about How to "Optimization of details" patented technology

Video copy prevention systems with interaction and compression

Disclosed are systems and methods for providing video content while inhibiting the copying of that content for later viewing. Video images may be made difficult to copy for presentation at later times by the omission or addition of content developed in relation to the particular initial viewing. For instance, video information may be customized by omitting information that is not likely to be substantially perceived by the initial viewer but that is substantially likely to be perceived as missing by at least some other viewers. As another example, video information may be customized for a particular viewing instance so that it contains modified, selected or injected information that is likely to be perceived as non-disruptive or unnoticeable by the original viewer but that would be perceived as substantially noticeable and/or disruptive by some other viewers, including when parts of more than one such video information are combined in an effort to remove customization related to their respective original viewings. Various means and methods for accomplishing the forgoing in a variety of settings are disclosed including also for providing privacy related to what is viewed. In some examples higher-resolution images are provided for the region near the viewer's point-of-regard and lower resolution images are provided elsewhere, which also has the effect of reducing the bandwidth required. For interactive content rendered from digital models, a model for a central foveal region may be provide greater detail and have greater computational requirements than a model for a peripheral view, providing both economy/performance in rendering and protection against copying.
Owner:DIGITAL COMMUNITY LLC

Face attribute editing method based on generative adversarial network and information processing terminal

The invention belongs to the technical field of human face attribute editing, discloses a human face attribute editing method based on a generative adversarial network and an information processing terminal, and constructs a human face attribute editing model combining the generative adversarial network and an auto-encoder. Wherein the auto-encoder is used as a generator, and the input of the model is pictures and attributes; optimizing the GAN loss by using the WGAN-GP to realize a task of editing a plurality of attributes by using a single generator; enabling the generated image to correctlyhave expected attributes by using an attribute classifier; a multi-scale discriminator is adopted to guide a generator to generate details, and detail information is captured on an original image; and combining the reconstruction loss, the attribute classification loss and the multi-scale GAN loss for face attribute editing. Experiments on a CelebA data set show that a high-quality face image isgenerated on the basis that expected attributes are correctly owned, and the method has good performance in the aspects of single-attribute face editing, multi-attribute face editing and attribute strength control.
Owner:CHINA UNIV OF PETROLEUM (EAST CHINA) +1

SAR (Synthetic Aperture Radar) image spot-inhibiting method based on spare domain noise distribution constraint

InactiveCN103971346AStrong anti-spot abilityGood anti-spot abilityImage enhancementFeature extractionSynthetic aperture radar
The invention discloses an SAR (Synthetic Aperture Radar) image spot-inhibiting method based on spare domain noise distribution constraint, which mainly solves the problem that existing spot-inhibiting method cannot keep image texture details and radiation characteristic at the same time. The method comprises the following steps: 1, carrying out logarithm transformation on an original SAR image, dividing the transformed image into overlapped sub image blocks which are same in size and clustering the image blocks by a K mean value clustering method; 2, solving a sparse representation sub dictionary of each cluster by a principal component analysis method and calculating an estimated value of a sparse representation coefficient of a noise-free sub image corresponding to each sub image block by non-local mean value algorithm; 3, solving the final noise-free sparse representation coefficient by soft threshold shrinking algorithm and obtaining the de-noised sub image blocks through reverse sparse transformation; and 4, splicing the sub image blocks and carrying out reverse logarithm transformation to obtain the spot-inhibited SAR image. The method disclosed by the invention is strong in coherent spot inhibiting ability, and the image texture details and radiation characteristic are kept well, so that the method can be used for target identification and characteristic extraction.
Owner:XIDIAN UNIV

Imaging system

An image-capturing system including at least three cameras with different image-capturing directions, a feature point extraction unit that extracts a feature point of a subject from images captured by the camera, and an image storage unit that stores images captured by the cameras is characterized by: a feature quantity calculation/detection unit that calculates a feature quantity of the subject from the feature point extracted by the feature point extraction unit; a direction estimation unit that estimates a direction in which the subject is oriented from the feature point extracted by the feature point extraction unit; and a stored camera image determination unit that determines a camera image to be stored in the image storage unit, wherein, when a difference between the feature quantity calculated by the feature quantity calculation unit and a particular feature quantity set in advance is not more than a certain value, the stored camera image determination unit determines, as a first stored image, the image from which the feature point has been extracted by the plurality of the feature point extraction unit, and determines a second stored image by identifying a camera in accordance with the direction in which the subject is oriented as estimated by the direction estimation unit from the feature point extracted in the first stored image.
Owner:SHARP KK

Preferential tone scale for electronic displays

A method of displaying on a display a visual reproduction of an original scene with a preferential tone mapping; said display having a selected display white point and a selected display black point separated by more than 3.5 decades of luminance; the method comprising the steps of capturing original scene parameters, performing a transformation on said captured scene parameters, and displaying a visual reproduction of the scene on the display from the transformed captured scene parameters; wherein said transformation, taken in conjunction with untransformed characteristics of the capturing and displaying steps, results in a reproduced tone mapping having: a. a dynamic range greater than 3.5 decades; b. a first derivative value of minus log reproduced luminance relative to log original scene luminance between −1.1 and −1.51 inclusive for a log scene luminance of −0.6, measured relative to a 100% diffuse reflector in the original scene; c. a first derivative value less than or equal to −1.9 and greater than −4.0 for a log scene luminance of −1.9; d. a first derivative value between −1.5 and −3.0 inclusive for a log scene luminance of −2.0; and e. a first derivative value at a log scene luminance of −2.5 greater than the first derivative value at a log scene luminance of −2.0.
Owner:GLOBAL OLED TECH
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