57 results about "Unsharpness" patented technology

The sharpness of a digital image is adjusted according to defined aim subject and background sharpness levels. An image segmentation process is used to segment an input digital image into a subject region and a background region. The subject and background regions are analyzed to determine corresponding subject and background sharpness levels. An enhanced digital image is formed wherein the sharpness of the subject region is adjusted responsive to the subject sharpness level and the aim subject sharpness level, and the sharpness of the background region is adjusted responsive to the background sharpness level and the aim background sharpness level. In some embodiments, the input digital image is analyzed to determined a scene type classification and the aim subject and background sharpness levels are defined in accordance with the determined scene type classification.

CT imaging is enhanced by adaptively filtering x-ray attenuation data prior to image reconstruction. Detected x-ray projection data are adaptively and anisotropically filtered based on the locally estimated orientation of structures within the projection data from an object being imaged at a plurality of rotation positions. The detected x-ray data are uniformly low pass filtered to preserve the local mean values in the data, while the high pass filtering is controlled based on the estimated orientations. The resulting filtered data provide projection data with smoothing along the structures while maintaining sharpness along edges. Image noise and noise induced streak artifacts are reduced without increased blurring along edges in the reconstructed images. The enhanced image allows reduced x-ray dose while maintaining image quality.

An X-ray CT apparatus includes a unit which extracts a high-contrast region of comparatively high X-ray attenuation coefficient from an image, units which generate an unsharp image concerning the high-contrast region, on the basis of the position of the extracted high-contrast region and a point spread function peculiar to the apparatus, and a unit which subtracts the unsharp image from the original image in order to generate a low-contrast image concerning a low-contrast region of comparatively low X-ray attenuation coefficient.

The invention discloses an infrared thermal image resolution enhancing method, which comprises the following steps of: A, acquiring infrared thermal images and performing enhancing contrast ratio pre-treatment, wherein the infrared thermal image is obtained through two infrared thermal image instruments which are parallel with an optical axis structures and have different focal distances, and the infrared thermal images comprise short-focus images and long-focus images; B, enlarging the short-focus images, and dividing the long-focus images into low-frequency images and high-frequency images; C, establishing a mapping relationship of planes at infinity of the enlarged short-focus images and the original long-focus images by utilizing an DLT algorithm and a translation mapping table; D, establishing an image pyramid, and calculating an optical parallax among the images in the horizontal direction; E, partially fusing the high-frequency images of the long-focus image into the enlarged short-focus images, and partially fusing the high-frequency images into the enlarged short-focus images. In comparison with a high-resolution infrared thermal image instrument, the cost is reduced, a relatively big visual angle range is guaranteed, and the resolution of a local region is increased at the same time.

The technique of the present invention carries out specific image processing that emphasizes articulation of display with a varying degree of emphasis for respective sites of an image projected by a projector. A typical example of such image processing is sharpness adjustment. The degree of emphasis in sharpness adjustment at each site is specified, based on an elevation angle of the projector and a focalized position of the projected image. The technique of the invention thus readily prevents deterioration of the image quality due to out-of-focus state of the projected image.

The invention discloses a foggy weather image reconstruction method based on polarization, comprising following steps: 1, obtaining the polarization images in different polarization angles; 2, calculating the Stokes vector value of an object image; 3, estimating the atmosphere light intensity value of the infinite distance by using light channel priori rules; 4, estimating the atmosphere light polarization degree by using a filtering method; 5, reconstructing a fogless scenery image; 6, carrying out DOP partial index enhancement to the fogless image. According to the invention, the fogless image from the foggy weather image can be reconstructed well; and the definition of the image is improved.

The invention discloses a measured object image splicing method based on an optical projection tomographic imaging system, which mainly solves the problem of blurring spliced regional images or obvious splicing mark in splicing a measured object image based on the optical projection tomographic imaging system in the prior art is solved. The measured object image splicing method based on the optical projection tomographic imaging system is realized by the following steps of: (1) respectively irradiating the left half part and the right half part of a measured object, and collecting to obtain projection images of the left half part and the right half part of the measured object; (2) respectively converting the left half part and the right half part of the measured object into a sinogram with a clear textural feature; (3) splicing the sinograms and confirming the splicing distance between the projection images by utilizing the correlation of image overlapping regions; and (4) finishing the splicing the projection images in a ramp function weighting way. The measured object image splicing method based on the optical projection tomographic imaging system has the advantages of high definition of spliced regions, small splicing marks and small calculated amount and can be used for carrying out three-dimensional reconstruction on the measured object.

Color, luminance, and sharpness balancing across images that are stitched together in a panorama compensates for exposure, alignment, and other differences between the images. Histograms counting occurrences of Y, U, and V values in overlapping regions between images are generated. The Y-value histograms are converted to Cumulative Density Functions (CDF's) and then to a Y color transfer curve which is averaged to generate a smoother averaged Y color transfer curve. Artifacts and loss of image detail caused by color transfer are suppressed by the averaging. For U and V color values the histogram bars are directly averaged using a moving average and then CDF's generated from the moving average of the histograms. Color transfer curves are generated for U and V from the CDF's for source and target images that overlap. All pixels in the source image are adjusted using the color transfer curves to perform color and luminance balancing.

The invention relates to a CT image reconstruction method under the condition that CT projection paths are reduced. The CT image reconstruction method comprises the following steps: obtaining a seriesof continuous incomplete projections through scanning in different incomplete projection modes, and obtaining a CT image sequence through reconstruction; performing CT image spatial information datarecovery and image reconstruction by using a deep convolutional neural network; in a network training process, firstly, utilizing a data set of incomplete projection for pre-training a network, then,utilizing a complete data set for carrying out large-scale iterative training on the network, and obtaining an incomplete projection CT spatial information data recovery model; and inputting the realincomplete projection CT image slice into a data recovery model to obtain a high-quality CT reconstructed image. The CT image reconstruction method is reasonable in design, can obtain the high-qualityCT reconstructed image with high contrast, high definition and good detail description, and can greatly improve the reconstruction quality of the incomplete projection CT image under the condition that the X-ray tube current is reduced and the projection path is reduced.

The invention discloses a digital imaging system of X rays acquired from fluorescent screen images, which is characterized in that the system consists of an X ray generator, a fluorescent screen, a lens, an imager, an image acquisition card and a computer, wherein the X ray generator presents body images projected by high-voltage X rays on a medical fluorescent screen, the lens, the imager and the image acquisition card acquire the images on the fluorescent screen to achieve the conversion between the X rays and visible light, then the acquired images are transmitted to the computer or an LCD display by a data wire or a Bluetooth wirelessly, and the computer of the LCD display restores or reinforces the images acquired by low dosage of the X rays for auxiliary diagnosis by a doctor. Compared with the prior art, the digital imaging system has the advantages of simple structure, convenient operation, high image definition and low production cost, is convenient for data management and network transmission of image case histories, creates a condition for remote diagnosis, and is particularly suitable to be popularized and applied in community and rural medical institutions.

An image forming apparatus including an adaptive optics realizing a reduction in image acquisition time and high definition without significantly increasing a light amount of a beam for scanning is provided, the apparatus including an adaptive optics scanning a plurality of areas in an object with a deflector using a measuring beam including a plurality of beams and corrects reflected and/or scattered beam from the object to acquire an image of the object, including: one or more wavefront aberration detecting device detecting wavefront aberration in each of the plurality of beams caused by the object when scanned by the measuring beam including the plurality of beams; and a single wavefront aberration correcting device correcting the wavefront aberration of each of the plurality of beams according to the detected wavefront aberration, the single wavefront aberration correcting device arranged in a position optically conjugate with the deflector.

The present invention provides an image processing apparatus and an image processing method for inhibiting smallest-unit point or line type unsharpness and gap. The image processing apparatus comprises an image printing unit for printing an image on papers, an output image reading unit for scanning the papers and reading the image printed on the papers, and a control unit, wherein the control unit, on the basis of the information related with the papers and the information related with the image processing apparatus, according to a pre-stored table, determines whether the unsharpness and gap can be divided into one or two point units for printing, when it is determined that the unsharpness and gap can not be divided, according to the image read by the output image reading unit it is determined that the image printing unit can print the image using a point as a unit, and when it is determine that the image can not be printed using a point as a unit, one point of the work page image can be converted two points.

The invention discloses a foggy day image reconstruction method and system; the method comprises the following steps: obtaining target polarization images of a plurality of different polarization angles under foggy day weather; determining the original foggy day target image and atmosphere light polarization images respectively corresponding to the target polarization images one by one according to the plurality of target polarization images; determining an atmosphere light polarization degree image and an atmosphere light intensity difference value according to the plurality of atmosphere light polarization images; determining an infinite distance atmosphere light intensity value image according to a bright channel prior rule; finally using the original foggy day target image, the atmosphere light polarization degree image, the atmosphere light intensity difference value and the infinite distance atmosphere light intensity value image to determine a fog-free target image. The method and system can solve the problems that a conventional method only consider the atmosphere light polarization characteristics, cannot consider the target light polarization characteristics, thus reducing the image sharpness.

The embodiment of the invention provides a method and device of stacking multi layer. The method of stacking multi layer comprises: obtaining the data of the current layer and the data of the layer needed to be stacked; executing frame processing to the obtained data of the layer needed to be stacked; executing stack processing to the current layer and the layer needed to be stacked executed by framing processing to obtain the stacked image result. The technical proposal provided by the embodiment of the invention is able to realize to rapidly adjust the video or transparency of the image andsolve the problem of unclarity of the layer after stacking.

The invention discloses a method for quickly positioning a damaged QR code according to image redundancy information. The method comprises the following steps: performing gray processing on a picturecontaining the QR code; carrying out definition evaluation on the grayscale picture; performing filtering and edge detection on the grayscale picture; determining three positioning patterns of the QRcode according to the width ratio of the stripes; performing adaptive binarization on the QR code region in combination with the size of the positioning pattern; and searching four edges of the QR code through affine transformation, and finally performing positioning correction by using homography transformation. According to the method for quickly positioning the damaged QR code, redundant information in the image is fully utilized, the image traversal frequency is reduced as much as possible, and the algorithm speed is increased; self-adaptive threshold edge detection and self-adaptive threshold binaryzation are adopted, so that the edge detection and binaryzation effects are improved; unclear images are filtered, and excessive waste of computing resources can be avoided.

The invention relates to a panoramic exposure method with three-source Gamma source combination of a large-scale spherical storage tank, which adopts the irradiation with three-source bound combination, can obtain a basically even panoramic radiation field, completely satisfies the standard fog density and sensitivity requirements of photographic plates, has greatly shortened irradiation time and novel techniques, is simple, convenient, safe, reliable and environment-protective, and can improve the nondestructive examination quality. The panoramic exposure method comprises the following technical steps: a central point of the spherical storage tank is obtained by measurement, a Gamma source head is packed on a nylon belt and positioned at the central point of the spherical storage tank, and the nylon belt is fixed in centers of an upper inlet orifice and a lower inlet orifice and strung by an euphroe, thus avoiding swinging; a source tank is connected with a drive device, and source transmission pipes and a drive hose are straightly positioned with the bend radius no less than the least Phi 500; the three source transmission pipes are bound together, and under the precondition that the geometric unsharpness is ensured, three irradiation heads turn outward in a petal shape so as to reduce mutual influence, increase irradiation area and reduce fade zone.