299 results about "Color enhancement" patented technology

The invention discloses a method for producing lube base oil, which is characterized in that low-pressure hydroisomerization and adsorption treatment are adopted and organically combined, and the lube base oil meeting the standard of HVIW is obtained; the raw material firstly enters a low-pressure hydroisomerizing reactor, and the pour point is lowered; after gas-liquid separation of the heterogeneous product, adsorption treatment is done to the separated lube fraction for color enhancement and stability improvement. The invention has the advantages that adaptability of the raw oil is strong; operating condition is mild; investment and operating cost is low; and the prepared lube base oil meeting the standard of HVIW can be applied to blinding with various brands of high-grade lube.

The invention provides a method and a system for automatically analyzing a panoramic digital pathological section image. Color enhancement, normalization and standardization processing are carried out on a pathological image, and an interesting feature extraction region in the image is acquired; the color, the morphology, the texture and the space distribution feature of the pathological section in the interesting feature extraction region in the image standardization module are detected; according to the detection result of the image feature extraction module, automatic classification and quantitative index calculation are carried out on the pathological image; according to the classification result of the automatic classification module, diagnosis by a medical staff is assisted. Thus, automatic analysis on the panoramic image of the digital pathological section can be realized accurately and in real time.

The invention relates to an image processing technology, in particular to an independent color enhancement processing method to the image. The invention discloses an independent color enhancement method which conducts the single color enhancement according to the color chosen by the user. The single color enhancement of the invention includes the procedures that: a. the input image is conversed from a RGB format into a HSV format; b. a color region which the user chooses is detected; c. a color saturation piecewise linear enhancement processing is carried out to the color saturation of pixel points in the chosen color region; d. the signal processed by the pixel points is preserved, so as to judge whether all the pixel points in the presently chosen color region are processed. If so, the image from the HSV format is conversed into the RGB format; if not, the next pixel point is processed and the third procedure is returned. The invention has the beneficial effects that color enhancement is selectively conducted in accordance with the preference of the user, and the aesthetic concept of the users is better satisfied.

A method for enhancing the color of an image to be displayed on a display includes receiving an image having a plurality of pixels where each of the pixels has a plurality of color components. The image is filtered using a spatial filter in such a manner that the lower frequency content of the image is enhanced in such a manner that the color gamut of the lower frequency content is increased. The filtered image is modified such that the higher frequency content of the image to obtain a modified image that includes the higher frequency content and the lower frequency content.

A method for enhancing the color of an image to be displayed on a display includes receiving an image having a plurality of pixels where each of the pixels has a plurality of color components. The image is filtered using a spatial filter in such a manner that the lower frequency content of the image is enhanced in such a manner that the dynamic range of the lower frequency content is increased. The filtered image is modified such that the higher frequency content of the image to obtain a modified image that includes the higher frequency content and the lower frequency content.

Enhanced dynamic range requires more than 8 bit representation for single color components of pixels. For this purpose, normal color resolution images and high color resolution images are available. Backward compatibility can be achieved by a layered approach using a color enhancement layer, and a conventional image as color base layer. Both have same spatial and temporal resolution. Encoding of the color enhancement layer uses prediction and residual. A methods for optimized color enhancement prediction is disclosed. Color bit depth prediction is done by constructing a polynomial that approximates for all pixels of one color component of a block the color enhancement layer from the color base layer. A predicted version of the high color resolution image and a residual are generated and updated by a residual. The coefficients are compressed and added as metadata to the data stream.

The invention relates to an infrared and visual pseudo-color image fusion and enhancement method. The method comprises the following steps: performing advanced partition treatment on infrared images to acquire three different area characteristics of background information, target information and cold target information, preserving characteristic information, performing pseudo-color fusion on the infrared and visual images under a color space of YUV to acquire pseudo-color fusion images, and then performing color transfer and color enhancement treatment on the pseudo-color fusion images by using a given color reference image to acquire final fusion images. The method can cause the final fusion images to have more area characteristic information, and furthest promote the color quality of the fused images at the same time of ensuring the instantaneity of a system.

The invention provides a Retinex image enhancement method based on a Laplacian pyramid. The method comprises the following three processes: firstly, carrying out multi-scale convolution on an originalimage, carrying out convolution by adopting three 3 * 3 Gaussian convolution kernels, and obtaining R, G and B channel feature maps with different scales; secondly, estimating an incident component by adopting a Retinex algorithm and enhancing colors; enhancing details of reflective components; and finally, carrying out linear weighted fusion on the color enhanced image and the detail enhanced image to obtain an enhanced image. According to the method, more details of the image are acquired by adopting multi-scale convolution, image enhancement is carried out by utilizing an MSRCR algorithm,and Gamma correction is carried out on an incident component to realize color enhancement. Bilateral filtering denoising is carried out on the reflection component to reduce noise interference, and image detail information is extracted through a Laplacian pyramid; and linear weighted fusion is carried out on the color enhanced image and the detail enhanced image to realize image enhancement.

The invention discloses an image color enhancement method and device. The image color enhancement method comprises steps of 1, acquiring color components of an image, and transforming the color components into hue, saturation and value (HSV) space from red, green and blue (RGB) space to obtain HSV space parameters, namely, hue, saturation and value; 2, performing gain operation on saturation and value selectively according to judgement on saturation of the HSV space; 3, transforming the obtained HSV space parameters to the RGB space. According to the image color enhancement method, judgement is performed on saturation after the color components are transformed to the HSV space, then the gain operation is performed selectively through a gain function according to results, therefore, the gain operation is performed completely without judgement after transformation in the prior art is avoided, and the image color can be enhanced while color cast of pure color gray scale and skin supersaturation in image display are avoided.

The present invention is directed to a decorated edible product comprising: a confectionery center, a non-chocolate edible surface, an edible color enhancement coating that is substantially gray colored disposed on at least a portion of the non-chocolate edible surface, and an edible image formed on at least a portion of the color enhancement coating, wherein the color enhancement coating substantially promotes the true colors of the edible image.

System and methods for gamut bounded saturation adaptive color enhancement are provided. Color enhancement incorporating gamut bounded saturation enhances colors of an pixel from a source color gamut such that the resulting color is within a target color gamut. This resulting color may, for example, take advantage of an expanded target color gamut of a display. Gamut bounded saturation may be implemented independently or in combination with RGB bounded saturation.

The invention provides an intelligent monitoring method based on a deep fusion neural network pedestrian re-identification technology. According to the method, after the color enhancement preprocessing is carried out on an obtained image, the traditional manual features of the image are extracted, and a deep residual convolutional neural network extracts the image, and then the traditional manualfeatures subjected to dimension reduction and the deep features extracted by the completely trained neural network are fused, so that the identification of the target pedestrian is completed. Comparedwith the prior art, the recognition precision is greatly improved, the recognition success rate is increased to 81.74% through the pedestrian re-recognition algorithm contained in the method, and thetechnology can be completely practical. The pedestrian re-identification process is automatically completed, and details cannot be lost due to fatigue of people.

The invention discloses a face recognition method based on a migration layered network. The method comprises the steps of S1, selecting a pre-training model; S2, establishing the layered network for face classification; S3, determining fine-adjustment network layers according to the selected pre-training model and the similar degree of existing face data; S4, for a face training data set, carryingout preprocessing operation, comprising color enhancement, rotation, translation, and addition of random noises; S5, training the existing data through utilization of a caffe depth learning library;and S6, carrying out face recognition through utilization of the trained model.

An electronic timepiece including a hollow casing, an electronic L.E.D. module disposed in the casing, the module including a digital time and date display. A glass crystal is connected into an open bezel of the casing and covers the module and the display. By selective manual finger contact with the casing, the display is preferably orientable for reading alternately from either side of the timepiece by the wearer or by an observer. An illuminated image projection separate from the display preferably emanates from a top surface of the casing adjacent the crystal. Preferred first and second touch command bars extend around a different portion of a perimeter of the crystal wherein, when manually touched, current time or current calendar information is displayed. A thin film lamination may be attached atop the module or on an inner surface of the crystal for color enhancement of the display.

The invention discloses a welding seam defect identification method based on an improved LeNet-5 model. Firstly, input of traditional convolution kernel channels of the LeNet-5 model is improved for the welding seam grayscale image, the grayscale image is converted to a color image through pseudo-color enhancement technology, and the obtained color image is used as input of a neural network; thenconvolution kernels of the LeNet-5 model are improved, and convolution kernel channels with Gabor filters are added; features obtained by the multiple channels are fused in a sixth layer of the neuralnetwork to obtain a feature set T; and finally, a SoftMax classifier is used in a seventh layer (output layer) of the neural network to obtain the defect type of a welding seam and probability of each category, to which the same belongs, to use the same to provide a reference for negative-film type determination of a film evaluator and site rework scheme formulation. According to the method, feature extraction capability of the neural network is improved, and thus a correctness rate of defect identification is improved; and an identification result is given in a form of the probability of thecertain categories to which a defect belongs, and more sufficient reference information is provided for the film evaluator.

The present invention discloses a microstructure transfer medium and application thereof to produce various microstructures on a film, glass substrate, plastic substrate, etc. for utilization in a variety of optical films of a backlight module, light guide plates, color enhancement film for liquid crystal displays, various patterned nanoimprint for semiconductor or flat panel display processes, and Fresnel lens. Furthermore, the microstructure transfer medium according to the present invention can be applied in producing microstructures on a non-planar surface. The microstructure transfer medium according to the present invention comprises a substrate and a release layer formed on the substrate wherein the release layer has microstructures thereon. Preferably, the surface energy of the release layer is lower than 30 dyne/cm.

The invention discloses a caption extraction method and device. The method comprises the following steps: a video is decoded, video frames are obtained, pixels in the video frames are subjected to connection operation in a caption arrangement direction, connected domains in the video frames are obtained, video frames containing the same caption are determined based on the connected domains in the video frames, caption zones in the video frames containing the same caption are determined based on distribution positions of the connected domains in the video frames containing the same caption, an assembly tree is correspondingly constructed according to a plurality of channels in the caption zones, a contrast ratio extremum area corresponding to each channel is extracted via use of the constructed assembly tree, contrast ratio extremum areas of the plurality of channels are subjected to color enhancement processing operation, color enhancement contrast ratio extremum areas are formed, and the color enhancement contrast ratio extremum areas of the plurality of channels are integrated. Via implementation of the caption extraction method and device, strong interference backgrounds such as light illumination, clothing and the like in images of the caption zones can be effectively eliminated, the backgrounds can be well separated from the caption, and improvement of subsequent character identification efficiency and precision can be facilitated.

The invention relates to a non-contact heart rate measurement method based on a visual camera, comprising the following steps: determining a region of interest ROI, processing pixel signals, and extracting heart rate information. The invention utilizes a camera to collect a video image of an object. Then, for these images, color enhancement is performed on the captured images, and the selected ROIis located. Then the effective signal is extracted and the heart rate is obtained by band-pass filter and Fast Fourier Transform. The experimental results show that this method can measure heart rateeffectively. Therefore, the non-contact heart rate measurement is realized.

The invention provides a skin color optimization method and device for a color gamut transformation system. An RGB (Red Green Blue) to HSV (Hue, Saturation, Value) transformation unit receives a camera signal and transforms the camera signal from the RGB color gamut to the HSV color gamut so as to generate an HSV color gamut camera signal; a skin color optimization unit is connected with the RGB to HSV transformation unit and used for executing skin color optimization of the HSV color gamut camera signal so as to generate a hue/saturation gain; a color enhancement operation unit is connected with the skin color optimization unit and used for executing color enhancement operation of the HSV color gamut camera signal according to the hue/saturation gain and a hue displacement signal so as to generate a color enhancement camera signal; and an HSV to RGB transformation unit is used for transforming the color enhancement camera signal from the HSV color gamut to the RGB color gamut.

A method, computer-usable medium and a system for varying an incoming light field are disclosed. Embodiments provide mechanisms for performing image processing on an incoming light field using a spatial light modulator which is adjusted based upon characteristics of the incoming light field. The spatial light modulator may be positioned between the viewed scene and the eye, and therefore, may be semi-transparent. The image processing may consist of tone mapping, color enhancement, beautification, edge enhancement, spectral separation of colors, spectral separation of metamers, object emphasis, other image processing, or some combination thereof. Additionally, embodiments compensate for parallax errors by adjusting the spatial light modulator based upon the position of an observer with respect to the spatial light modulator. And further, embodiments may be incorporated into optical devices, wearable optical devices, windows, windshields, and the like, where the semi-transparent spatial light modulator adjusts the image before entering the eye.

An image processing method and system wherein an operator may provide adjustments to tweak color saturation of a particular color in an image. In the method and operation of the system a first signal representing color separation continuous tone gray level image data of pixels is provided as one input to a lookup table. An operator adjustable color tweaking input data second signal represents an adjustment in color saturation and is provided as a second input to the lookup table. In response to the first and second inputs a third signal representing adjustment in color saturation in accordance with the operator adjustable color tweaking input is output from the lookup table. Thereafter, data represented by the third signal is subject to a halftone process to generate halftone rendered gray level data values for the pixels.

The invention discloses a lighting control method and system. The lighting control method comprises the following steps that an original image of a target object is obtained by an imaging device; color enhancement processing is performed on the original image to obtain a color enhancement image; color coordinate calculation is respectively performed on all pixels in the original image and the color enhancement image to obtain a first colorimetric parameter C and a second colorimetric parameter Cr; feedback control calculation is performed according to the first colorimetric parameter C and the second colorimetric parameter Cr to obtain a first drive parameter D; the first drive parameter D is sent to a lighting device, so that a first drive current value output by the lighting device is regulated by the lighting device according to the first drive parameter D; whether the first colorimetric parameter C reaches a nominal value is detected; and if the first colorimetric parameter C does not reach the nominal value, the steps are circularly performed until the first colorimetric parameter C reaches the nominal value. The effect that the lighting device is automatically regulated to enhance the color contrast of a lighted object is realized by using the lighting control method and the lighting control system.

The present invention relates to an underwater color image enhancement method based on a dark channel theory. The method concretely comprises the following steps of for an underwater degraded image, on the basis of a Jaffe-McGlamery imaging model, adopting a Retinex method to estimate a transmission diagram of a dark channel image, utilizing a local back scattering background light estimation method of the Poisson distribution fitting to take the underwater color image pixel values corresponding to the pixel points most close to an estimated value in a dark channel image block as the back scattering background light of the image block, after a restored image is obtained, applying the contrast stretch to carry out the color enhancement, and finally obtaining and outputting an enhanced underwater image. The method of the present invention can realize the definition and color enhancement of the underwater image better, and is more suitable for being applied to the underwater image enhancement problem of the coastal waters water body turbidity.

A light emitting device includes a radiation source operable to generate and radiate excitation energy, the source being configured to irradiate a wavelength conversion component with excitation energy and the wavelength conversion component comprising a layer of photo-luminescent material configured to emit radiation of a selected color when irradiated by the radiation source and a color enhancement filter layer configured to filter undesirable wavelengths of an emission product of the layer of photo-luminescent material to establish a final emission product for the light emitting device.