1171 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.

A bright metallized laminate is disclosed that includes a polyvinylidene difluoride-acrylic film having microscopically smooth surfaces, a discontinuous layer of indium islands deposited on the polyvinylidene difluoride-acrylic film, an adhesive layer bonded to the surface of the discontinuous indium layer opposite the polyvinylidene difluoride-acrylic film, and a thermoplastic backing layer bonded to the adhesive layer opposite the discontinuous layer of indium islands. An associated method is disclosed for forming the bright metallized laminate that includes the steps of casting a polyvinylidene difluoride-acrylic film to a polymeric substrate, depositing a discontinuous layer of indium islands upon the polyvinylidene difluoride-acrylic film, placing a polymeric film onto the discontinuous layer of indium islands, and press polishing the polyvinylidene difluoride-acrylic film and the discontinuous indium layer. The polyvinylidene difluoride-acrylic film demonstrates a roughness average (RA) of about 0.75 micron or less, and a distinctness of image (DOI) of about 95 or more.

The invention provides a fingerprint acquisition module, a display apparatus, and a fingerprint recognition method. The fingerprint acquisition module comprises a photosensitive element and an optical modulation film located at one side of a photosurface of the photosensitive element, the optical modulation film comprises a micro-lens array and a light shielding layer with a plurality of optical apertures, the light shielding layer is located between the photosensitive element and the micro-lens array, and the plurality of optical apertures and micro-lenses in the micro-lens array are arranged in a one-to-one correspondence manner. By employing the fingerprint acquisition module, the image definition of acquired fingerprint images can be improved, and the rate and the accuracy of fingerprint recognition can be improved.

The invention provides an automatic focusing method of a camera. The automatic focusing method is characterized in that respective treatment is provided for selection of focusing windows correspondingly to normal illumination and low illumination, and on the basis without increasing excessive calculation, the inclusion of information at the upper half part, the left side and the right side of a picture in the focusing process is considered. A focus-adjusting search control strategy adopts an improved hill-climbing algorithm and comprises the steps of: firstly carrying out rough adjustment, then finding an extreme point by function fitting, driving a motor to reach near the extreme point, and then adopting a small-step method to carry out fine adjustment near the extreme point by the hill-climbing algorithm so as to enable the focusing to be more accurate. For the evaluation of the image definition, a Brenner function is adopted as an evaluation function of automatic focusing and is suitable for quickly finding the clearest point of the image in a manner of matching with the focusing process.

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.

The invention relates to the technical field of video analysis and discloses a video quality diagnosing method comprising the steps as follows: step 101,video data coming from a remote camera to be diagnosed are obtained by a transmission server; and step 102, indexes of the video data are detected in a preset time range, and a diagnosis result is provided, wherein the step 101 and the step 102 are conducted in an asynchronous way, the video data are detected after a certain quantity of video data is cached, and the video quality is diagnosed according to the detection result. The effective video quality diagnosing method is realized by the designed methods on detecting the indexes of image definition, video loss rate, picture partial chromaticity, picture gain imbalances degrees, contrast, picture upheaval, screen freezes degrees, screen wobble degrees, stable stripe interference degrees, horizontal grain superposition degrees and noise degrees of the video data.

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 discloses an optical module, a camera and a mobile terminal device. The optical module comprises a lens, a lens driving component, a driving control component and a vibration transducer, wherein, the vibration transducer is used for detecting vibration / jitter of the optical module, the camera or the mobile terminal device and transmitting detected signals to the driving control component; the driving control component generates corresponding vibration / jitter compensation signals according to the detection signals of the vibration transducer and drives the lens to perform vibration / jitter compensation motion through the lens driving component. The camera and the mobile terminal device apply the optical module. The optical module, the camera and the mobile terminal device not only have autofocus function but also increase shock-proof function and overcome the defect that the image resolution is affected by vibration / jitter of the optical module, the camera or the mobile terminal device.

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.

An x-ray device includes an x-ray tube for generation of an x-ray emanating from a focal spot of a rotary anode rotatable around a rotation axis and a slit-shaped diaphragm for generation of a fan-shaped x-ray beam that is gated from the x-ray and emission is moved through an examination region in the manner of a scan. To improve the image resolution, the fan-shaped x-ray beam can be moved over the examination region essentially in the direction of the rotational axis of the rotary anode by tilting the x-ray tube on the focal spot, with the x-ray tube being tilted on the focal spot so that the fan-shaped x-ray beam is always gated from the region of the overall emitted x-ray beam having the highest image resolution or the highest image definition in the movement through the examination region.