49results about How to "Improve output image quality" patented technology

An image processing method of creating image data for forming an image on a recording medium by ejecting liquid droplets from a plurality of nozzles of a recording head onto the recording medium while causing relative movement of the recording medium and the recording head, includes: a correction coefficient storage step of determining correction coefficients for ejection failure correction based on difference of landing interference patterns of a plurality of types, according to correspondence information indicating correspondence relationship between the landing interference patterns and the respective nozzles, the landing interference patterns being based on a landing interference inducing factor including a deposition sequence of the liquid droplets on the recording medium that is defined by an arrangement configuration of the plurality of nozzles and a direction of the relative movement, and storing the correction coefficients for ejection failure correction according to the landing interference patterns, in a storage unit; an ejection failure nozzle position information acquisition step of acquiring ejection failure nozzle position information indicating a position of an ejection failure nozzle which cannot be used for forming the image, of the plurality of nozzles; and a correction processing step of performing a correction calculation on input image data using a corresponding correction coefficient obtained by referring to the correction coefficients for ejection failure correction according to the ejection failure nozzle position information, so as to generate image data corrected in such a manner that output of the ejection failure nozzle is compensated by a nozzle other than the ejection failure nozzle.

A method and apparatus for transforming a first color distribution based on a second color distribution. The method includes the steps of determining, for each of the first and second color distributions, a one-dimensional histogram along a direction in a color space; matching the one-dimensional histogram determined for the first color distribution and the one-dimensional histogram determined for the second color distribution so as to generate a transform mapping; transforming the first color distribution based on the generated transform mapping; and repeating the determining, matching, and transforming steps for other directions in the color space until the generated transform mapping converges.

A defective recording element correction parameter selection chart which is output by an image forming apparatus that performs image formation on a recording medium by a plurality of recording elements included in a recording head while conveying at least one of the recording head and the recording medium so as to cause relative movement between the recording head and the recording medium, the chart being used, in a case where there is at least one defective recording element which is not able to perform recording among the plurality of recording elements, in order to determine a defective recording element correction parameter expressing an amount of correction for correcting image formation defects caused by the at least one defective recording element, with image formation by a recording element other than the at least one defective recording element, the chart includes: a reference patch constituted by a uniform image which is an image formed on a region of the recording medium with a uniform density based on a constant tone; and at least one measurement patch in which a state after correction using the amount of correction corresponding to a candidate value of the defective recording element correction parameter which expresses the amount of correction is reproduced in a state that one or more of the recording elements which have formed the reference patch are set to be in a non-recording state, the candidate value of the defective recording element correction parameter being applied to an image formation portion which is formed by a recording element that carries out recording in a vicinity of a non-recording position of the one or more of the recording elements which have formed the reference patch and have been set to be in the non-recording state.

A developing unit containing developer including carrier and toner and developing a latent image formed on an image carrier is disclosed. The developing unit includes multiple conveyor members configured to convey the contained developer in respective longitudinal directions so as to form a circulation channel; a supply part configured to supplement the carrier in the developing unit; a discharge part configured to discharge a first part of the contained developer outside the developing unit; and a bypass channel configured to cause a second part of the developer to return to the upstream side of the circulation channel without passing a position where the discharge part is provided.

An image processing apparatus is provided, including a brightness change level classifying unit, a dynamic weight calculating unit, and a brightness correcting unit. The brightness change level classifying unit compares a brightness change average value representing brightness changes from a pixel of interest to neighboring pixels around the pixel of interest with an upper threshold value and a lower threshold value and classifies the brightness change level of the pixel of interest into three types of levels according to the result of the comparison. An upper threshold value and a lower threshold value are predetermined based on the brightness of the pixel of interest. The dynamic weight calculating unit calculates different dynamic weights according to the brightness change level of the pixel of interest. The brightness correcting unit corrects the brightness of the pixel of interest, based on the dynamic weights. Accordingly, noise generated on a plane part of an image is minimized and a contour of the image is appropriately emphasized, consequently improving the definition of images.

A region-of-interest (ROI) video-coding method and apparatus based on fuzzy logic control for a video encoder is provided. Providing an image having a plurality of region-of-interest regions and a plurality of non-region-of-interest regions, the first step is to separate the region-of-interest regions and the non-region-of-interest regions from the image. Then by sending an input from the region-of-interest regions to a fuzzy logic control, in which the fuzzy logic control performs fuzzy manipulations that enhances the quality of the region-of-interest regions, and thereof the overall quality of an output image. The method and apparatus are particularly useful in videophone and videoconferencing.

Apparatus and Method for Producing Thumbnail Images and for Improving Image Quality of Re-Sized Images are disclosed providing a method that can improve the image quality of an output image in the size reduction procedure of the resolution conversion process. The apparatus including a resolution conversation (RC) unit 103 for down-sizing an original image 10 to a target size image 20, a RC process controller 1051 for controlling an operation of the RC unit 103 so as to repeat a prescribed resolution conversion process twice or more, and a memory 110 for storing an intermediate size image 30.

According to the claimed invention, an image processing apparatus for processing image data having attribute information for every pixel constituting the image data, comprises: combining means for combining component image data, which corresponds to each of a plurality of component images, into composite image data that corresponds to a single composite image; attribute appending means for appending identification information, which indicates the component image data to which each pixel belonged, as attribute information of pixels that constitute the composite image data; and processing means for applying common image processing to pixels having identical values as the identification information.

The invention discloses an optical readout method utilizing a fiber optics bundle to carrying out modulation, belonging to an application of fiber optics in the technical field of optical readout type infrared focal plane thermal imaging, and solving the problem of filtering difficulty due to inconsistent zero-order spectrums caused by different initial attitudes of the imaging units of the optical readout type infrared focal plane array. The scheme can replace a knife edge (or an aperture) to carry out optical filtering; and meanwhile, stray light generated due to limited environment conditions has better inhibitory action, thereby improving the quality of output images. The main process is as follows: ray is transmitted in fiber according to the total reflection principle; the fiber has rigid requirement on the incidence angle of the ray, thus the ray (such as the stray light in environment) which does not satisfy the incidence angle can not be totally reflected in the fiber but is refracted into a cladding, i.e. the fiber optics bundle can not transmit the ray, thereby inhibiting the stray light; and the ray (such as beam expanding collimation light source) satisfying the incidence angle can be transmitted to the rear end surface of the fiber optics bundle by means of the total reflection principle. When a focal plane array arranged on the rear end surface deflects because of being heated so as to change the angle of the ray entering the fiber from the end surface, thus the angle of the ray emitted from the front end surface also changes; and luminous energy received from an optical receiver changes and is embodied by the light and shade change on the image.

Provided is an image edge correction apparatus and method. The image edge correction apparatus includes an edge information extraction unit extracting edge information of an input image based on luminance change directivity information of the input image and an edge enhancement unit enhancing an edge of the input image by applying different luminance weights to a pixel of interest included in the input image based on the edge information of the input image. Thus, by appropriately enhancing a contour portion of an image while minimizing noise in a plane portion of the image, the sharpness of the image can be improved.

The invention discloses a high-fidelity video amplification method based on deconvolution image restoration, and relates to the technical field of imaging. The method improves quality of images of a camera subjected to video amplification, and solves problems, such as conflict between improvement of resolution and degradation of images after amplification. The method comprises the following steps of: testing a lens of a to-be-tested camera, and acquiring a point spread function of the to-be-tested camera; executing interpolation for an original image through an interpolation method, and obtaining a to-be-restored interpolated image; transforming the point spread function to a spatial domain through Fourier inversion, and obtaining a deconvolution pre-selection template; further intercepting the deconvolution pre-selection template, and obtaining a deconvolution template with the size of 13*13; and performing real-time two-dimensional convolution for the deconvolution template and the to-be-restored interpolated image, and obtaining a restored amplified image. The method performs real-time processing according to a pixel clock rate based on a parallel pipeline thought, reduces hardware performance requirements and code design complexity, and is easy for engineering implementation and highly adaptable.

The present invention provides a determination method to obtain the optimum image output quality. The method comprising the standard white plate is scanned prior to the scanning document sheet to obtain a first image data. Then, the first image data is calculated to generate the shading curve, noise level, and brightness data, which corresponding to each sensor device. Next, the shading curve or standard values returned to input into the calibration database. Thereafter, the scanning device scanned and exposed the document sheet to obtain a second imaging data that corresponding to each sensor device and to read out the standard curve (shading curve) from the calibration memory simultaneously. Next, a determination method utilized to determine the difference value between the two pixels at neighboring position, if the difference value is smaller than the standard value, then the two neighboring pixels is to be averaged and outputted the average value; else, the output pixel value is equal to the original position of the pixel value. Finally, the corrected image data is outputted which is corrected by calibration method.

In an image processing method for carrying out a plurality of types of halftoning processing expressing in combination amplitude modulation having the number of tone levels smaller than that of an input image and area coverage modulation, selectively or in parallel, the plurality of types of halftoning processing comprises processing providing output image color and tone substantially identical mutually.

An optical device for eliminating the stray light is provided at a stop of an illuminating system in an optical system of "digital light processing" (DLP). The optical system consists of a stop of an illuminating system, a "digital micromirror device" (DMD), a stop of a projection lens, and a screen while the stray light is a chromatic halo at the peripheral area on the screen. Wherein, the optical device includes a reflecting mirror designed of an adjustable angle and installed near periphery of the stop of the illuminating system. The chromatic halo is generated from the light beam at the periphery area. And, the light beam is reflected from the DMD and is transmitted into the stop of the projection lens, and then is projected on the screen. And, the reflecting mirror is used to reflect the light beam at the periphery area so as to divert the original transmitting path of the light beam such that the light beam is reflected from the DMD and is uniformly transmitted into the stop of the projection lens. Thus, the contrast ratio of the illuminating system is increased, and the quality of the output image is improved, and the efficiency of the DLP system is enhanced, and the luminance projected on the screen is improved.

The invention belongs to the technical field of laser detection, and in particular relates to a high signal-to-noise ratio detection device and a high signal-to-noise ratio detection method applied tonear field measurement of high power laser. The detection device comprises a CCD sensor, a pre-amplification and pre-processing unit, a sampling conversion mechanism, an FPGA controller, a PHY chip and an optical fiber network interface. The detection device provided by the invention is mainly used for performing near field measurement of high power laser, can well detect the laser with differentstrength distribution, and thus accurate near field measurement is achieved. Meanwhile, the detection device aims at the high signal-to-noise ratio requirement when the high power laser is subjectedto near field measurement, can achieve imaging with a high dynamic range, a high signal-to-noise ratio and low uniformity, and can stably output a high quality laser measurement image. In addition, the detection device can flexibly select a sampling position and efficiently process sampling data, so that the flexibility of data processing is also greatly enhanced while the signal-to-noise ratio ofthe image is improved.

The invention provides an image correction method and apparatus for a multi-channel CCD camera. The method comprises: an ideal weighted pulse width value of a preset gain section is determined at a system debugging stage; according to the ideal weighted pulse width value and a preset sampling point number, sampling point data of all channels are obtained; according to a preset rule, segmentation is carried out on an expected brightness sampling interval of a preset color brightness component in the preset gain section to obtain a plurality of brightness segments; on the basis of sampling point data falling into a numerical value interval of each brightness segment, linear fitting parameters corresponding to the preset color brightness component at all brightness segments are determined; and a CCD sampling channel is selected as a reference channel for correcting image color brightness and correction parameters of other CCD sampling channels relative to the reference channel are determined based on the linear fitting parameters. According to the image collection method provided by the application, an obtained spliced image has high uniformity; and the quality of the image outputted by the multi-channel CCD image collection system can be improved.

The invention discloses an image editing method, a network training method, a related device and electronic equipment, which relate to the technical field of artificial intelligence such as computer vision and deep learning. According to the specific implementation scheme, a first image is acquired; the first image is inputted into a trained cyclic consistency generative adversarial network; the cyclic consistency generative adversarial network comprises a first generator, the first generator comprises a first spontaneous motion module, and the first spontaneous motion module is used for transforming to-be-edited image content in the first image according to a trained first geometric transformation relationship so as to generate a second image; the second image comprises the converted image content; and a third image is outputted based on the second image generated by the first spontaneous motion module. According to the technology of the invention, the problem that the output image quality is relatively low in the image editing technology is solved, and the output image quality of image editing is improved.

A screening method includes the steps of cutting off two corners facing each other of square cells to form non-regular hexagonal cells, combining plural of the hexagonal cells into one halftone cell. Further, an interior of the hexagonal cells can be divided in order to form sub-matrices. For a square matrix of 6×6 pixels, 2×2 pixels on the left-upper side of the square matrix of the 6×6 pixels and 2×2 pixels on the right-lower side thereof may be cut down, and thereby one hexagonal cell of 32 pixels not being of a regular hexagon is formed. Further, four hexagonal cells can be combined into one. In such a way, a complex hexagonal cell can be formed. Further, a hexagonal sub-matrix of 8 pixels, also not being of a regular hexagon, can be formed. The center cell of the hexagonal sub-matrix is set to an auxiliary point. Furthermore, three hexagonal cells can be combined into one halftone cell. The number of the halftones which can be expressed by such a halftone cell is 72.

An optical device for eliminating the stray light is provided at a stop of an illuminating system in an optical system of "digital light processing" (DLP). The optical system consists of a stop of an illuminating system, a "digital micromirror device" (DMD), a stop of a projection lens, and a screen while the stray light is a chromatic halo at the peripheral area on the screen. Wherein, the optical device includes a reflecting mirror designed of an adjustable angle and installed near periphery of the stop of the illuminating system. The chromatic halo is generated from the light beam at the periphery area. And, the light beam is reflected from the DMD and is transmitted into the stop of the projection lens, and then is projected on the screen. And, the reflecting mirror is used to reflect the light beam at the periphery area so as to divert the original transmitting path of the light beam such that the light beam is reflected from the DMD and is uniformly transmitted into the stop of the projection lens. Thus, the contrast ratio of the illuminating system is increased, and the quality of the output image is improved, and the efficiency of the DLP system is enhanced, and the luminance projected on the screen is improved.

An image processing apparatus is provided, including a brightness change level classifying unit, a dynamic weight calculating unit, and a brightness correcting unit. The brightness change level classifying unit compares a brightness change average value representing brightness changes from a pixel of interest to neighboring pixels around the pixel of interest with an upper threshold value and a lower threshold value and classifies the brightness change level of the pixel of interest into three types of levels according to the result of the comparison. An upper threshold value and a lower threshold value are predetermined based on the brightness of the pixel of interest. The dynamic weight calculating unit calculates different dynamic weights according to the brightness change level of the pixel of interest. The brightness correcting unit corrects the brightness of the pixel of interest, based on the dynamic weights. Accordingly, noise generated on a plane part of an image is minimized and a contour of the image is appropriately emphasized, consequently improving the definition of images.

A rasterizer generates bitmap images of RGB on the basis of object data inputted from a printer driver and stores the result in an image memory. The rasterizer brings attribute information representing attributes of the input object data into correspondence with each pixel of the generated bitmap images to store in an attribute map memory. An image processing unit converts RGB bitmap images stored in the image memory into binary bitmap data for each of YMCK colors which can be processed by an image forming unit. The contents of conversion processing such as dither matrix for binarization processing are switched on the basis of the attribute information retained in the attribute map memory.

The present invention provides a determination method to obtain the optimum image output quality. The method comprising the standard white plate is scanned prior to the scanning document sheet to obtain a first image data. Then, the first image data is calculated to generate the shading curve, noise level, and brightness data, which corresponding to each sensor device. Next, the shading curve or standard values returned to input into the calibration database. Thereafter, the scanning device scanned and exposed the document sheet to obtain a second imaging data that corresponding to each sensor device and to read out the standard curve (shading curve) from the calibration memory simultaneously. Next, a determination method utilized to determine the difference value between the two pixels at neighboring position, if the difference value is smaller than the standard value, then the two neighboring pixels is to be averaged and outputted the average value; else, the output pixel value is equal to the original position of the pixel value. Finally, the corrected image data is outputted which is corrected by calibration method.

The invention discloses an image device and a charging control method thereof. The image device comprises a microprocessor, a temperature sensor, an image sensor and a battery module; the temperature sensor is used for detecting the temperature of the image sensor; the microprocessor is used for obtaining a temperature value of the image sensor detected by the temperature sensor when external current input is detected and when the image sensor is in a working state; and when the temperature value is greater than a first threshold, the charging current of the battery module is reduced to adjust the temperature of the image sensor. When the image device provided by the embodiment of the invention is in a charging and working state, the temperature of the image sensor detected by the temperature sensor is obtained to control the charging current, the influence of heat noise to the quality of the output image of the image sensor is reduced by reducing the charging current, and thus the quality of the output image is improved.

The invention discloses an image process device, a program, an imageing device, an imaging method and a dither matrix. An organized dither matrix is composed of a main matrix having dispersibility and a sub-matrix having randomness, and the intensity of a frequency characteristic of an output image relatively increases from a low frequency component, through an intermediate frequency component, to a high frequency component in respective tone levels.

An image reproducing method and apparatus for obtaining a prescan image having a low resolution by pre-scanning an image recorded on a film through a lens of a camera and then obtaining a fine scan image having a high resolution by fine scanning the above image and of outputting the image as a visible image by subjecting the fine scan image to predetermined digital image processing, is characterized by having preparing a decreased marginal illumination correction mask to the prescan image to correct decreased marginal illumination characteristics caused by the lens of the camera; and subjecting the fine scan image to a decreased marginal illumination correction by enlarging the prepared decreased marginal illumination correction mask to a size corresponding to an image size.