1165 results about "Distinctness of image" patented technology

The present invention relates to an integrated video camera device and self-adapting automatic focus method. The method includes: using climbing method to a curve composed of an evaluation function evaluating the definition and the definition evaluation values of multiple images acquired continuously, selecting a focus method base on the zooming situation, searching the peak of the curve and driving the lens to reach the focusing position corresponding to the peak of the curve, performing real time motion detection to the lens scenes upon searching the peak, driving the lens motor to startup a new cycle of automatic focus process when a certain degree of fuzzy is judged to appear on the lens scene or the moving scene varies and at a non-focus status. The invention has beneficial effects that the device and the method can effectively determine the focus direction in a variety of zoom magnifications, can 'recognize' images at fuzzy status and accelerate them out of the fuzzy status, and overcomes the problems of the traditional focus method that it is difficult to judge focus direction in the fuzzy region under high magnifications, and the traditional focus method has slow focus velocity and repeated oscillation.

The invention discloses a no-reference structural sharpness image quality evaluation method, which comprises the following steps of: acquiring an original image input in a computer; preprocessing the original image, removing influence of isolated noise points on the sharpness of the original image and acquiring an original image to be evaluated; constructing a reference image for the original image to be evaluated through a low pass filter; respectively performing gradient calculation on the original image to be evaluated and the reference image, and extracting sub-image vectors with rich texture information; calculating the structural similarity between corresponding sub-image vectors so as to obtain structural similarity results of the sub-image vectors; and calculating no-reference structural sharpness by using the obtained structural similarity results of the sub-image vectors so as to obtain quality evaluation index no-reference structural sharpness of the original image. The reference image is constructed through an imaging model, no-reference image quality evaluation is performed by a reference image quality evaluation method aiming at image blurring, and the method is applied to the fields of imaging quality detection and control of an imaging system, evaluation of an image processing algorithm, and the like.

A method and system that uses a computer system as a telemicroscope. A plurality of images of a specimen are captured (Digital camera scanner video camera). The images correspond to the entire specimen and a plurality of segments of the specimen (Multiple linked images). The high-resolution images corresponding to said plurality of segments have different magnification levels and locations (magnifying glass effect); a linking map is generated between said images (Multiple linked images). The linking map comprises information regarding geographical location of the images in relation to the specimen's structure (Image geographical measurement); and images and said linking map are transmitted to a remote user via a computer network thereby allowing the user to view the images with different magnification levels without compromising in image clarity (Computer station one and computer station two). The transmitted images are viewed in a dynamic manner, permitting the user to navigate, enlarge, measure, compare, annotate and exam the digitized images on a virtual slides displayed on a computer screen (Image analysis measurement). The operation of the system closely mimics that of a light microscope.

An observation optical system comprises an image display element 5 and an eyepiece optical system which introduces an image formed by the image display element 5 to a center of an eye of an observer without forming an intermediate image, so as to allow the observer to observe the image as a virtual image. The eyepiece optical system is constructed and arranged to bend the optical axis using reflecting surfaces so as to be compact. The optical axis lies in a plane, with respect to which the optical system is formed symmetric. The optical system includes a prism 3 having an entrance surface 33, a plurality of curved reflecting surfaces 31, 32 and an exit surface 31. The reflecting surface 32 is provided with a volume hologram (HOE) 4. Whereby, it is possible to provide an image observation optical system which can be made compact enough to be usable as an image display unit for a cellular phone or a portable intelligent terminal, and which can achieve high image definition and wide field angle while controlling chromatic aberration of magnification to be small.

The invention belongs to the technical field of vision measurement, in particular to an automatic focusing method. In the method, an idea, which comprises that an image definition evaluation function is designed on the basis of improved discrete cosine transformation (DCT) to represent detail information of the image and highlight high frequency energy, and the relative definition is brought in by consideration of a close relation between the definition of the image and the brightness and the gray scale of the image, is provided. Meanwhile, in the method, a scale-variable window selecting scheme is provided on the basis of analyzing the influence from the selection of a focusing window on a focusing result. Experimental results show that the effect of the improved image definition judgment is improved greatly; in the actual application of the method, a partial extreme value of the image definition judgment is hard to avoid, so, by combining return information of a lens, an improved climbing method search strategy of total-range rough adjustment large step length focusing and partial refine adjustment small step length focusing is provided; and in the method, a scheme of starting automatic focusing when a shooting scene is changed or the lens is zoomed is provided.

A flat panel display device. The device includes a plurality of self-luminant devices, each of which includes at least a light emitting layer, formed on every pixel, and a lens sheet having a plurality of condensing lenses that correspond to the self-luminant devices and direct the light emitted from the self-luminant devices toward a predetermined direction. A distance between the light emitting layer and an exterior portion of the condensing lens in the direction of propagation of the light is between 50 and 500 microns so as not to overlap images of neighboring sub-pixels, that are expanded by the condensing lenses. Therefore, a lowering of image sharpness that is caused by the condensing lenses can be prevented, while a light coupling efficiency and a brightness are improved.

Inks that contain ionically stabilized dispersions and selected polyurethane ink additives are described. These ionically stabilized dispersions are obtained from polymeric dispersants where the hydrophilic components are minimized. These stabilized dispersions can be utilized to prepare ink jet inks which when printed result in improved optical density, chroma, gloss and especially distinctness of image. The stability of the ionically stabilized dispersions are sufficient for ink jet inks. The polyurethane ink additives are chosen from polyurethanes which are urea terminated or crosslinked.

An object of the invention is to provide a method for forming a multilayer coating film with excellent smoothness, distinctness of image, and water resistance, by a 3-coat 1-bake coating method, even when preheating after the application of an aqueous first colored coating composition is omitted. The present invention provides a method for forming a multilayer coating film, including (1) applying an aqueous colored coating composition (A) to a substrate to form a colored coating film; (2) applying an effect pigment-containing aqueous coating composition (B) containing a binder component (b1), an effect pigment (b2), and a hydrophobic solvent (b3) in proportions of 15 to 30 parts by mass of effect pigment (b2) and 25 to 60 parts by mass of hydrophobic solvent (b3) relative to 100 parts by mass of the binder component (b1), to the colored coating film, without preheating the colored coating film, to form an effect coating film having a film thickness of 7 to 13 micrometers when cured; (3) applying a clear coating composition (C) to the effect coating film to form a clear coating film; and (4) heating the three coating films formed in steps (1) to (3) to simultaneously cure these three coating films.

Aberrations in stimulated emission depletion microscopy are corrected using an adaptive optics approach using a metric which combines both image sharpness and brightness. Light modulators (22,32) are used to perform aberration correction in one or more of the depletion path (10), the excitation path (12), or the emission path from sample to detector.

A layer arrangement comprising, at least in a binderless layer thereof, one or more vapor deposited pigments like the preferred nanocrystalline beta-Cu-phthalocyanine nanocrystalline dye compound has been disclosed, wherein said layer layer arrangement is, in a preferred embodiment a photostimulable phosphor plate or panel having a binderless needle-shaped photostimulable alkali metal phosphor, and, more preferably, a CsBr:Eu<2+> phosphor, showing besides a high image definition, an excellent preservation of color stability; and wherein the thus produced binderless photostimulable phosphor screen is overcoated with a strong protective layer in order to provide ability for easy transport through a scanning module, without jamming, in a diagnostic radiographic image reading system.

A method and application specific integrated circuit for determining focus for an image capture system using scene content within an image, including the steps of: acquiring, from the image, image data having different focus positions; dividing the image data into sub-images; calculating a sub-image sharpness value for each sub-image; calculating an image sharpness value for each focus position using the sub-image sharpness values; plotting the sharpness values versus the focus position; fitting a curve to the plot of the image sharpness values versus the focus position, wherein the curve has a peak sharpness value; and determining the focus of the image capture system from a point on the curve.

In a method of removing a noise signal from a video signal and enhancing edge sharpness to improve the video signal definition, a different weight is assigned depending on a characteristic of input pixels. To this end, at least two pixel blocks including the input and at least two adjacent pixels. A pixel difference between the pixels in the each of the pixel blocks is calculated and one of the calculated pixel differences is selected. The input pixel is assigned with a weight corresponding to the selected pixel difference. Accordingly, the definition of the video signal is improved.

A method for collecting living body iris image includes confirming dynamic image being eye image, counting up eye image grey scale value to find out initial pupil centre, collecting a series of eye image in different focal surface to make image quality evaluation in order to confirm the best quality iris image.

The invention provides a method for detecting image definition and a device for detecting the image definition. The method for detecting the image definition includes the steps: obtaining an input primary image; enabling the primary image to be converted into a gray level image; conducting denoising to the gray level image to obtain a denoising image; obtaining a peripheral point of the denoising image; conducting lowpass filtering operation to the denoising image to obtain a blurred image; respectively calculating image definition characteristic quantity of each peripheral point of the denoising image and image definition characteristic quantity of each peripheral point of the blurred image; calculating the image definition characteristic quantity of the each peripheral point according to the image definition characteristic quantity of the denoising image and the image definition characteristic quantity of the blurred image; and calculating and enabling an average value of the image definition characteristic quantity of all peripheral points to be used as image definition characteristic quantity of the primary quantity so as to judge the image definition characteristic quantity of the primary quantity. The method for detecting the image definition and the device for detecting the image definition can determine image definition precisely, and a suggested image definition estimation scheme can be suitable for the vast majority of images.

The invention discloses a depth estimation method based on an image definition difference. The method comprises steps of converting a color single-viewpoint single image into a gray-scale image, conducting partitioning, calculating definition of all image blocks by selecting an image definition algorithm, regarding the definition of all image blocks as definition of pixels of all image blocks and obtaining the definition difference condition of the single-viewpoint single image. Under the actual condition that a camera focuses on a foreground of a scenery target usually so that the focused scenery is clear, the depth assignment is conducted to the single-viewpoint single image through the definition difference, a depth image is obtained, and the depth estimation of the single-viewpoint single image is completed. The definition is calculated in partitioning, and the single-viewpoint single image depth is obtained. Compared with the prior art, the method has the advantages of being low in complexity and capable of meeting real-time requirements of image processing.

The invention discloses an information processing method and an electronic device. The method is applied to the electronic device. The electronic device comprises a light sensor, an image acquisition unit and a display screen. The method comprises the steps that the first environment brightness value of the first environment of the electronic device is acquired through the light sensor; the first environment brightness value is compared with a preset threshold value; if the first environment brightness value is less than the first threshold value, a first instruction is generated; the first instruction is responded, so that the first environment brightness value of the electronic device is improved to the second environment of a second environment brightness value; and first image information in the second environment is acquired through the image acquisition unit. According to the method provided by the invention, image acquisition light supplement is carried out through the display screen on the electronic device, so that the image definition is improved.

There is provided a hard-coated film that includes a thermoplastic film and a hard coat layer placed thereon, has high surface hardness, is prevented from forming interference iris patterns, does not reduce image sharpness when used for antireflection films, and is prevented from causing screen glittering, external light reflection, or coloration irregularity of reflected light. The hard-coated film includes a polyester film and a hard coat layer placed on at least one side of the polyester film, wherein the hard coat layer has a surface with irregularities, an interface between the polyester film and the hard coat layer has irregularities, and the surface of the hard coat layer has 3D surface roughness parameters including an arithmetical mean deviation of surface Sa of from 15 nm to less than 150 nm and a kurtosis of surface height distribution Sku of from 1.5 to 5.

The invention discloses a coarse tuning and fine tuning combined infrared image automatic focusing method which is characterized by controlling a motor to operate positively and negatively according to an automatic focusing command; controlling the motor to move to the negative direction with a relatively-large step length from the extreme position; in the moving process, calculating definition evaluation function value in real time; and when the function value reaches maximum value, controlling the motor to move to the negative direction again with a relatively-small step length and calculating definition evaluation function value in real time, and the maximum value place is the clearest imaging place. According to the method, combination of coarse tuning and fine tuning is realized through different motor movement step lengths, and automatic focusing calculation is carried out through two image definition evaluation functions, thereby guaranteeing an infrared imaging system to enable the focal length to be adjusted to the clearest imaging place quickly and realizing the optimum focusing effect; and the method is less in computation burden, high in real-time performance, beneficial to engineering application, and capable of meeting the definition requirement of the infrared imaging system.

The invention discloses a self-adaptive image defogging method based on resolution evaluation. The self-adaptive image defogging method comprises the steps of image pretreatment, image resolution judgment, image defogging treatment and coding decision optimization; image resolution judgment comprises the step that input haze images are classified according to the definition of visibility in meteorology; image defogging treatment comprises the step that the classified haze images are processed in sequence by calling a defogging algorithm; coding decision optimization comprises the steps that aprocessing result is subjected to image quality evaluation, a coding decision method is introduced to the evaluation result, accordingly the evaluation result is processed by calling the defogging algorithm in a self-adaptive mode again, and thus optimization of the output result is achieved. The self-adaptive image defogging method solves the problems of low image saturability caused by a Retinexdefogging algorithm, severe detail information loss of defogging images caused by a contrast enhancement method, and low robustness caused by an atmospheric scattering model method. The self-adaptiveimage defogging method is high in universality and stability, and the processed images have good effect and high quality.

The invention provides an image definition detecting method and device. The image definition detecting method comprises the following steps: acquiring an original image and converting the original image into a grey level image; selecting M image blocks from the gray level image, wherein the M is an integer larger than or equal to one; calculating a gradient magnitude graph of each image block in the M image blocks, converting the gradient magnitude graph into a one-dimension image edge gradient magnitude signal and a one-dimensional image edge grey level signal, and then calculating a definition metric of each image block; when the M equals one, enabling the definition metric to serve as a definition detecting result of the original image, when the M is larger than one, calculating a mean of the definition metrics of all image blocks to obtain a comprehensive definition metric, and enabling the comprehensive definition metric to serve as a definition detecting result of the original image. According to the image definition detecting method, an index for measuring the image definition is established with the edge gradient serving as the basis, and the method has generality to various image scenes.

The invention discloses an image motion compensation method for aviation full-frame transferring area CCD camera, accomplishing image motion compensation in aviation photography by combining mechanical shutter and electric shutter and the pure-electricity image motion compensation method of changing CCD line frequency driving according to aircraft speed-altitude ratio. Compared with common mechanical compensation technology, studying cost and complicated degree of area aviation camera are decreased greatly. In image motion compensation, flight altitude, exposure jitter and staring model so on are considered fully to strengthen compensation effect. Because compensation circuit adopts multi-phase driving method electric compensation accuracy can achieve sub-pixel level and improve image definition furthermore.

The invention relates to a method for detecting a human face under a backlighting environment. The method includes the steps of dynamic camera parameter adjustment, foreground and background cutting, human face positioning, human face tracking and data storage, human face image size filtering, human face image clearness filtering, front-side human face filtering and human face image output. The method has the advantages that parameters of a camera are dynamically adjusted so that the camera can be suitable for detecting human faces under different lighting environments and a better human face image can be acquired under the backlighting environment; a series of simple human face detection methods are designed corresponding to the backlighting environment, the detection effect is good, resources occupied by CPU processing are greatly reduced, and hardware cost of a whole system is lowered.