461results about How to "Enhance details" patented technology

A thermally-conductive interface for conductively cooling a heat-generating electronic component having an associated thermal dissipation member such as a heat sink. The interface is formed as a self-supporting layer of a thermally-conductive material which is form-stable at normal room temperature in a first phase and substantially conformable in a second phase to the interface surfaces of the electronic component and thermal dissipation member. The material has a transition temperature from the first phase to the second phase which is within the operating temperature range of the electronic component.

A handheld diagnostic ultrasound device is disclosed which is pocket sized, lightweight and is designed for clear imaging under adverse lighting conditions by utilizing a custom Head Mounted Display (HMD). The handheld diagnostic ultrasound device comprises a removable probe and a removable HMD that connects to the personal digital assistant (PDA) style control unit. The handheld diagnostic ultrasound device may be viewed on the VGA LCD Display on the diagnostic ultrasound device or on the HMD. Images obtained may be stored to a secure digital flash or transferred via USB (Universal Serial Bus) or wireless link to a remote computer system for further processing or archiving. The handheld diagnostic ultrasound device is based on a dual-core processor that achieves a level of integration not previously attainable in a handheld diagnostic ultrasound device.

A household appliance system and method include an appliance control system having a common appliance interface provided on an appliance and a demand side management module connected to the common appliance interface. The module corresponds to one select utility of a plurality of utilities and is adapted to communicate with the one select utility of the plurality of utilities. The appliance control system operates the appliance based on communications with the one select utility through the module.

The present invention is a method and apparatus for protection of various items against counterfeiting using physical unclonable features of item microstructure images. The protection is based on the proposed identification and authentication protocols coupled with portable devices. In both cases a special transform is applied to data that provides a unique representation in the secure key-dependent domain of reduced dimensionality that also simultaneously resolves performance-security-complexity and memory storage requirement trade-offs. The enrolled database needed for the identification can be stored in the public domain without any risk to be used by the counterfeiters. Additionally, it can be easily transportable to various portable devices due to its small size. Notably, the proposed transformations are chosen in such a way to guarantee the best possible performance in terms of identification accuracy with respect to the identification in the raw data domain. The authentication protocol is based on the proposed transform jointly with the distributed source coding. Finally, the extensions of the described techniques to the protection of artworks and secure key exchange and extraction are disclosed in the invention.

A method and system provides an automated clothes shopping recommendation based on personal style information that defines one or more attributes of clothing articles and/or clothing styles preferred selected by a user, and based on measurement information that defines one or more physical user measurements. On-site direction assistance is provided to the user based on the measurement information through provision of an augmented reality display on a mobile electronic device.

The invention discloses an FPGA (field programmable gate array)-based infrared image detail enhancing system and method. The system comprises a bilateral filtering module, a gaussian filtering module, a histogram projecting module and an automatic gain control module, wherein the bilateral filtering module is connected with the gaussian filtering module which is connected with the histogram projecting module and the automatic gain control module respectively, and original input data firstly passes through the bilateral filtering module to obtain image pattern fundamental frequency information; the fundamental frequency information passes through the gaussian filtering module to be smoothened, and differencing is carried out between a result and the original input data so as to obtain image detail information; and the detail information is amplified by the automatic gain control module, the fundamental frequency information is compressed by the histogram projecting module, and the detail information and the fundamental frequency information are summed to obtain an output image. According to the invention, the contrast ratio of the image can be improved, the detail information can be enhanced, background noise can be restrained, and the common problems that the edge is fuzzy and a visual effect is poor in the image of a thermal infrared imager imaging system in the prior art can be solved.

A multi-threaded graphics processor is configured to use to extrapolate low resolution mipmaps stored in physical memory to produce extrapolated texture values while high resolution nonresident mipmaps are retrieved from a high latency storage resource and converted into resident mipmaps. The extrapolated texture values provide an improved image that appears sharper compared with using the low resolution mipmap level texture data in place of the temporarily unavailable high resolution mipmap level texture data. An extrapolation threshold LOD is used to determine when extrapolated magnification or minification texture filtering is used. The extrapolation threshold LOD may be used to smoothly transition from using extrapolated filtering to using interpolated filtering when a nonresident mipmap is converted to a resident mipmap.

The invention discloses an image type fire flame identification method. The method comprises the following steps of 1, image capturing; 2, image processing. The image processing comprises the steps of 201, image preprocessing; 202, fire identifying. The fire identifying comprises the steps that indentifying is conducted by the adoption of a prebuilt binary classification model, the binary classification model is a support vector machine model for classifying the flame situation and the non-flame situation, wherein the building process of the binary classification model comprises the steps of I, image information capturing;II, feature extracting; III, training sample acquiring; IV, binary classification model building; IV-1, kernel function selecting; IV-2, classification function determining, optimizing parameter C and parameter D by the adoption of the conjugate gradient method, converting the optimized parameter C and parameter D into gamma and sigma 2; V, binary classification model training. By means of the image type fire flame identification method, steps are simple, operation is simple and convenient, reliability is high, using effect is good, and the problems that reliability is lower, false or missing alarm rate is higher, using effect is poor and the like in an existing video fire detecting system under a complex environment are solved effectively.

Methods, program products, and apparatus for reporting the location of packages or parcels as they move from a reception location through various vehicles and distribution locations to a delivery location. The methods, products, and apparatus enable any interested user to access a consolidated display showing the detailed progress of a package toward delivery, including real-time location information of any delivery vehicle carrying the package.

The invention relates to an infrared- and visible light- image fusion method, on the basis of multiresolution decomposition for the infrared- and visible light- images, utilizing their different imaging properties to obtain the relative 'object'- and 'background'- data from them, and thus dividing the fusion image into a background area, an object area and an edge part between the two areas, and then respectively adopting three different fusion rules to determine the multiresoluton expression of the fusion image, and finally making multiresolution reverse-transformation to obtain the fusion image. By an object area-based method, it fuses the infrared- and visible light- images of the same scene, and largely improves the image quality all the more.

A process and methods of digital enhancement of motion pictures and other moving image sequences for the purpose of being exhibited in an alternative display format including a large format cinema are disclosed. The invention efficiently enhances image resolution and quality through a temporal filtering process and achieves high performance using automated or interactive statistical quality evaluation methods. A system specially designed for efficient temporal computing with a parallel and distributed computing configuration equipped with a variety of optimization schemes is also disclosed. The performance of the process and the system is optimized through an intelligent controller and is scalable to support any throughput requirements demanded for concurrent motion picture releases in the original format as well as in any alternative format.

The invention discloses video noise reduction device and a video noise reduction method. The method comprises the following steps of: obtaining a brightness difference histogram of a current image by using a denoising result of a previous frame of image and a gradient magnitude histogram of the current image; carrying out noise level evaluation on the current image according to the brightness difference histogram; calculating the spatial distance of any two pixel points in the current image, so as to obtain the spatial similarity of the any two pixel points; carrying out denoising on the current image according to the spatial similarity; calculating a pixel time domain distance between any pixel point in the current image and the pixel point at the position corresponding to the previous frame of denoised image, and calculating the corresponding time domain similarity; carrying out three-dimensional recursive denoising on the video image according to the obtained time domain similarity, the spatial similarity denoising result and the previous frame of denoising result. By adopting the device and method disclosed by the invention, three-dimensional recursive denoising is carried out by using the pertinence of the pixel in space and time, so that strong complicated noise can be removed; an image detail can be kept; the stability of the denoising effect also can be ensured.

The invention discloses an image enhancement and partition method, which comprises the following steps of I, image enhancement: a processor and an image enhancement method based on fuzzy logic are adopted for performing enhancement processing on an image needing to be processed, and the process is as follows: i, converting from an image domain to a fuzzy domain: mapping the grey value of each pixel point of the image needing to be processed to a fuzzy membership degree of a fuzzy set according to a membership function (shown in the specifications); ii, performing fuzzy enhancement processing by utilizing a fuzzy enhancement operator in the fuzzy domain; iii, converting from the fuzzy domain to the image domain; II, image partition: partitioning a digital image subjected to enhancement processing, i.e. a to-be-partition image, according to an image partition method based on a three-dimensional fuzzy division maximum entropy. The method is simple in steps, reasonable in design, convenient to realize, good in processing effect and high in practical value, and an image enhancement and partition process can be simply, conveniently and quickly completed with high quality.

Three-dimensional imaging techniques are used for a visualization method and apparatus. In a preferred embodiment, terrain data is displayed as a series of pixels—areas of terrain elevation data. Individual pixels are analyzed to determine whether they are locally smooth or “warpable” relative to their surrounding neighbor pixels. Those pixels that are locally relatively “smooth,” i.e., those satisfying a given set of criteria, are joined with adjacent neighbor pixels by a process referred to herein as “warping” to create “smooth,” gap-free surfaces. A preferred embodiment includes drawing or generating lines between the centers of two pairs of adjacent pixels to determine a slopes m₁ and m₂ respectively. The slopes m₁ and m₂ are then analyzed using the following equations/determinations: |m₁∥≦m_max; |m₂∥≦m_max; and |m₁−m₂|≦Δmax; i.e., the slopes m₁ and m₂ must each be less than or equal to a predetermined threshold m_max and the difference between the slopes must be less than or equal to a predetermined difference Δmax.

A method for transforming a map based on associated geospatial data. A map is segmented into logical segments representing map-based entities. The geospatial data is then associated with the logical segments. The logical segments are scaled based upon the associated data. The logical segments are then repositioned to avoid overlapping other logical segments and a new map display based on the scaled and repositioned logical segments is provided.

The invention discloses a low-light-level image enhancement algorithm based on a parabolic function to overcome the defects that an existing low-light-level image enhancement algorithm is large in calculated amount, the color distortion is serious, and the contrast ratio is low. According to the algorithm, firstly, the illumination situation of an image is measured according to the distribution situation of a histogram; secondly, segmented parabolic functions with different parameters are adopted for images with different illumination classifications to carry out the self-adaptation illumination enhancement; thirdly, equivalent-ratio enhancement is carried out on RGB channels, the colors are kept unchangeable, and a primary enhancement image is obtained; to increase the speed, the image is converted to the YUV color space, only the luminance component Y is denoised through guiding filtering, and the RBG color space is restored; lastly, detail compensation is carried out on the filtered image to obtain the final enhancement image. According to the method, the visual effect can be effectively improved without losing the image information, and the effect is superior to the effect of other methods. According to the method, the enhancement effect on the low-light-level image is obvious, the processing speed is high, and the high practicality is achieved.

The embodiment of the present invention discloses a method for processing an inputted high dynamic range image and a display device and relates to the technical field of the display. The method and the display device are used for solving the problems of loss of image details, reduced contrast, color distortion and the like caused by the display of an HDR image or a video signal on a medium according to a method of the prior art. The method comprises a step of searching a tone mapping contrast coefficient table in each scene for a brightness value of each pixel point to obtain a tone mapping contrast coefficient of each pixel point in each scene, a step of weighting the tone mapping contrast coefficient of a same pixel point in each scene, and a step of taking the weighted tone mapping contrast coefficient as a color compensation coefficient, carrying out color compensation on each pixel point, and carrying out output.

The invention discloses a supplementation mechanism and PCNN-based NSCT domain image fusion method, and aims at solving the technical problem that the existing NSCT image fusion methods have image distortion phenomena. The technical scheme of the method is carrying out fusion processing on low-frequency sub-bands decomposed by NSCT by adoption of supplementary wavelet transform so as to retain detailed information of image backgrounds as much as possible, carrying out fusion by utilizing an improved Gaussian weighted SML method so as to enhance the image details, and carrying out fusion by utilizing an edge gradient information incentive PCNN method so as to enhance image edge information. Experiments prove that when being compared with the existing image fusion methods, the method disclosed by the invention has better fusion effect and has the advantages of greatly improving the target significance and further improving the image quality while overcoming the texture detail deficiency and distortion deficiency of images.

A method models a non-rigid three-dimensional object directly from a sequence of images. A shape of the object is represented as a matrix of 3D points, and a basis of possible deformations of the object is represented as a matrix of displacements of the 3D points. The matrices of 3D points and displacements forming a model of the object. Evidence for an optical flow is determined from image intensities in a local region near each 3D point. The evidence is factored into 3D rotation, translation, and deformation coefficients of the model to track the object in the video.

The present invention relates to energetic cocrystals, and to methods for using the same for treatment of a subterranean formation. In various embodiments, the present invention provides a method of treating a subterranean formation, the method including obtaining or providing a composition including energetic cocrystals. Each energetic cocrystal independently includes an energetic compound and a secondary material. The method also includes placing the composition in a subterranean formation.