394 results about "Image quality degradation" patented technology

A method and apparatus to remove color noise included in raw data while effectively preventing image quality degradation. For Interest pixels serially set onto a mosaic image formed of raw data, conversion is executed into a pixel value for noise removal based on a processing reference pixel value having a unified color signal component in each interest pixel, noise is removed from the pixel value for noise removal, and the pixel value for noise removal with noise removed is converted into the source pixel value, whereby only color noise can be removed without affecting a luminance signal.

An imaging apparatus capable of preventing photographing sensitivity from being increased more than necessary, reducing image quality degradation caused by camera shake or object shake and easily photographing images in good image quality. Digital camera 1 includes image shake correcting selection 16 that corrects shake of an optical image of a photographing object formed by the imaging optical system L, digital signal amplification section 110 that amplifies an image signal with a gain set by digital signal gain setting section 111, face detection section 120 that detects a face of a fast-moving specific photographing object such as a child or pet, and motion detection section 100 that detects motion of the face of the specific photographing object based on an output of face detection section 120, wherein when a fast-moving specific photographing object such as a child or pet or the face of the specific photographing object is detected, microcomputer 3 increases the gain of a photographing sensitivity changing function compared with when no specific photographing object such as a child or pet is detected, increases ISO sensitivity, increases a shutter speed and shortens exposure time.

The invention relates to an intelligent face tracking system and method based on depth learning and large-scale clustering. The system comprises a video input unit, a distribution server, a face identification server cluster, a streaming media server, a distributed file server, a message center server, a web front server and a client of a common operation system. According to the invention, by use of large-scale cluster servers, based on depth learning based face identification technology, a quite high identification rate can still be maintained under the condition of degraded image quality, and more important, a quite low false alarm rate and a quite low missed examination rate are maintained in a large-scale database, such that the reliability and the robustness of the intelligent tracking system can be ensured, and the intelligent tracking system based on face identification can be really applied to the field of safety protection.

The invention relates to an AMOLED (active matrix/organic light emitting diode) display and a driving method of the AMOLED display. The AMOLED display is provided with a compensation unit as well as a row driver and a column driver which are connected with a pixel array, wherein the compensation unit is provided with an overlaying device connected with a time sequence controller, the time sequence controller is also connected with the row driver, and the overlaying device is connected with a memory, an A/D (Analog to Digital) converter, a I/V converter and the column driver; each pixel unit of the pixel array comprises a first switch conducting element and a second switch conducting element, wherein the data conducting pins of the first switch conducting element are connected with the control pins of the column driver and a drive conducting element respectively; a capacitor is arranged between the input pin and the control pin of the drive conducting element; the input pins and the output pins of the second switch conducting element are connected with the output pins of the drive conducting element, the I/V converter and the A/D converter respectively. According to the AMOLED display and the driving method, a plurality of factors causing the image quality degradation can be compensated, the image display quality of the AMOLED display is improved, and the AMOLED display is simple in circuit structure.

The invention discloses an image super-resolution reconstruction method based on multitask KSVD (K singular value decomposition) dictionary learning, mainly aims at solving the problem that the quality of a reconstructed image of the existing method is relatively reduced seriously under a high-magnification factor. The method comprises the following steps of: inputting a training image, filteringthe image to extract characteristics; extracting tectonic characteristics vector sets of small characteristic blocks, and clustering to obtain sample pair sets {(H1, L1), (H2, L2), ..., (HK, LK)} of K to high resolution and low resolution; developing K high-resolution dictionaries Dh1, Dh2, ..., DhK and corresponding low-resolution dictionaries Dl1, Dl2, ..., DlK from the K groups of sample pair sets by means of a KSVD method; encoding low-resolution patterns input in the low-resolution dictionaries Dl1, Dl2, ..., DlK; obtaining an initial reconstruction image by encoding and high-resolution dictionaries Dh1, Dh2, ..., Dh; then implementing local constrained optimization of the initial reconstruction image; and compensating residual errors and implementing global optimization treatment toobtain a final reconstruction image. The image super-resolution reconstruction method based on multitask KSVD dictionary learning has the advantages that the various natural images can be reconstructed, the quality of the reconstructed image can be effectively improved under the condition of a high-magnification factor, and the method can be applied to the recover and identification of human, animal, plant and building and other target objects.

A camera image shake correcting device is provided which employs an image shake correcting system using an optical system to prevent image quality degradation and which uses a mirror (2) to allow improvement of correction response to image shake as well as miniaturization and to achieve a cost reduction.

The camera image shake correcting device is characterized by having a mirror (2) disposed in an intermediate portion of an optical path connecting together an image-formation plane of an image pickup optical system of a camera and an imaging lens; mirror driving means (7) for driving the mirror (2) so that the angle of the mirror (2) is changed in correspondence to displacement of an image on the image-formation plane caused by shake of the camera to cancel the displacement of the image on the image-formation plane; and control means (6) for controlling the mirror driving means (7) by detecting the amount of shake of the camera or the amount of displacement of the image on the image-formation plane.

The invention discloses a multi-task super-resolution image reconstruction method based on KSVD dictionary learning, which mainly solves the problem of relatively serious quality reduction of the reconstructed image under high amplification factors in the existing method. The method mainly comprises the following steps: firstly, inputting a training image, and filtering the training image to extract features; extracting image blocks to construct a matrix M, and dividing the matrix M into K classes to acquire K pairs of initial dictionaries H1, H2...Hk and L1, L2...Lk; then, training the K pairs of initial dictionaries H1, H2...Hk and L1, L2...Lk into K pairs of new dictionaries Dh1, Dh2...Dhk and Dl1, Dl2...Dlk by utilizing a KSVD method; and finally, carrying out super-resolution reconstruction on the input low-resolution image by utilizing a multi-task algorithm and the dictionaries Dh1, Dh2...Dhk and Dl1, Dl2...Dlk to acquire a final reconstructed image. The invention can reconstruct various natural images containing non-texture images such as animals, plants, people and the like and images with stronger texture features such as buildings and the like, and can effectively improve the quality of the reconstructed image under high amplification factors.

The resolution-converting method comprises steps of applying an edge-directed interpolation to an input image and producing an intermediate image; converting a sampling rate with respect to the intermediate image and producing an output image having a predetermined resolution; and improving sharpness of the produced output image. The present invention prevents image-quality degradation factors that can occur in the conventional resolution-converting method as well as obtains an output image having a resolution of a desired size.

A display device in which variations in luminance due to variations in characteristics of transistors are reduced, and image quality degradation due to variations in resistance values is prevented. The invention comprises a transistor whose channel portion is formed of an amorphous semiconductor or an organic semiconductor, a connecting wiring connected to a source electrode or a drain electrode of the transistor, a light emitting element having a laminated structure which includes a pixel electrode, an electro luminescent layer, and a counter electrode, an insulating layer surrounding an end portion of the pixel electrode, and an auxiliary wiring formed in the same layer as a gate electrode of the transistor, a connecting wiring, or the pixel electrode. Further, the connecting wiring is connected to the pixel electrode, and the auxiliary wiring is connected to the counter electrode via an opening portion provided in the insulating layer.

It is made possible to record stereoscopic image data of parallel-ray one-dimensional IP type in a format at a high compression rate with little image quality degradation. This stereoscopic image data can be efficiently decompressed and reproduced. A stereoscopic image data structure includes: a parallax component image data representing n or more parallax component images, each having accumulated pixels that cause the pixels to generate the parallel light rays in the same parallax direction in the viewing zone, and having different numbers of horizontal pixels. N combined images with the same numbers of vertical and horizontal pixels are a unit to be converted into a parallax interleaved image, the n combined images being formed by combining two or more parallax component images with parallax directions different from each other by n.

An image correcting apparatus is provided for preventing a degraded image quality which can be caused by a three-dimensional distortion correction made to a scanned image distorted in a trapezoidal shape. Divergent distortion angles α, β of a scanned image are detected using a page contour of a book document which can be found near the upper or lower edge of the scanned image in a main scanning direction. The scanned image is corrected for a divergent distortion based on the divergent distortion angles α, β, followed by a correction of the scanned image for a shape distortion in a sub-scanning direction. In this way, the image quality can be prevented from degradation possibly caused by the three-dimensional distortion correction, if made to such a scanned image distorted in a trapezoidal shape.

Image quality deterioration due to a drop in resolution or lowering of S/N ratio while reducing the amount of data stored during a 3D data acquisition process, and shortening the time from the start of an examination to the end of imaging. The method and apparatus of this invention perform, in parallel with the 3D data acquisition process, addition of sinograms, reading of subsets of the sinograms having been added, and image reconstruction. Consequently, the amount of data stored is reduced, and the time from the start of an examination to the end of imaging is shortened. At the same time, since 3D iterative reconstruction is not accompanied by conversion from 3D data to 2D data, a drop in resolution due to errors occurring with the conversion from 3D data to 2D data is avoided. The 3D iterative reconstruction can directly incorporate processes such as an attenuation correction process. It is thus possible to avoid also a lowering of S/N ratio resulting from an indirect incorporation of such processes.

An imaging apparatus and an imaging method capable of reducing image quality degradation due to camera shake or object shake and photographing images in good image quality in a simple manner. Digital camera 1 is provided with face detection section 120 that detects faces of a plurality of photographing objects, microcomputer 3 performs continuous shooting in optimum photographing conditions in accordance with the number of faces of the photographing objects for each face of the plurality of photographing objects by a single shutter operation and performs control by assigning serial photographing object numbers to the images of the plurality of photographing objects taken by continuous shooting and recording the images in a single continuous-shooting image folder. Furthermore, microcomputer 3 performs continuous shooting in predetermined order in accordance with the number of faces of the photographing objects and detects, when the photographing object speed is equal to or higher than a predetermined value, the photographing object speed again after photographing other photographing objects.

A method of correcting image distortion and an apparatus for processing an image using the method are provided, where the method can overcome the disadvantages of the conventional methods of correcting lens distortion and can minimize image quality degradation at outer portions,. The method includes: receiving an image from a wide-angle lens; extracting a distortion coefficient of the distortion in the image caused by the wide-angle lens; correcting the distortion of the image by using the extracted distortion coefficient; and displaying a corrected image. The apparatus includes: a wide-angle lens for receiving an image; an image processing unit comprising a distortion coefficient extracting unit for extracting a distortion coefficient of distortion in the image caused by the wide-angle lens and a distortion correcting unit for correcting the distortion of the image using the extracted distortion coefficient; and a display unit for displaying a corrected image.

The present invention relates to an image processing device and method, program and recording medium for achieving grayscale compression capable of suppressing image quality degradation using a simple configuration. A detection section 63 performs a detection process of a signal Y′ that has been subjected to the processes of a luminance signal generating section 61 and perception equalization section 62, thus finding average intensities of lighting in bright and dark areas of an input image. A control MPU 64 finds adaptation gains kAr and kBr based on the average intensities. Processing the signal Y′ with an edge-preserving LPF 65 provides a lighting component signal Y′lp. A detail extraction section 66 computes the difference between the signal Y′ and lighting component signal Y′lp, thus extracting a detail component signal Y′de of the image of the signal Y′. Thereafter, the lighting component of the signal Y′ is subjected to grayscale compression by a tone curve process section 68, while the detail component of the image of the signal Y′ is subjected to grayscale compression by a detail adjustment section 67.

An image restoration method based on MTF includes the following steps: firstly, calculating MTF curve of an image; secondly, constructing dimensional MTF matrix; thirdly, carrying out image restoration in frequency domain by utilizing the MTF matrix. The method aims at remote sensing image with large data volume and is based on MTF theory and image quality degradation theory; and the method provided by the invention is effective for image restoration. Practice shows that the method can effectively restore image and improve image quality and has high algorithm efficiency. Currently, the method is successfully applied in domestic ground satellite pre-treatment system, and practice shows that the method is correct, feasible and universal.

When luminance of an object changes, aperture value and shutter speed are changed. Shutter speed, in case of an electric shutter, is changed immediately. On the other hand, aperture value is driven over the span of several frames, due to delays in communication between the lens and the camera body or mechanical delays. During aperture driving duration, the aperture value deviates from the program diagram, leading to inappropriate exposure and drop in image quality. Correction coefficient B is calculated from ratio of luminance values of certain regions of a frame that are appropriately exposed according to the program diagram and a frame that are inappropriately exposed and deviates from the program diagram. Then, correction of gain is performed on the frames that are inappropriately exposed using the correction coefficient B, obtaining output image signals for which deterioration in image quality due to inappropriate exposure is suppressed.

In order to provide an X-ray CT apparatus with little image quality degradation even though a tube current value of the X-ray tube is suppressed, an X-ray CT apparatus of the present invention includes: a system controller that calculates a tube current value of an X-ray tube based on a successive approximation process condition selected from a plurality of successive approximation process conditions and input a scanning condition and/or a reconstruction condition and that performs scanning based on the calculated tube current value of the X-ray tube; and an image reconstruction device that reconstructs a tomographic image of an object, based on the selected successive approximation process condition and the reconstruction condition, from an amount of transmitted X-rays detected by an X-ray detector after being emitted from an X-ray source to the object based on the calculated tube current value of the X-ray tube and being transmitted through the object.