A method for sharpening a captured image () includes (i) selecting a pixel () in the captured image (); (ii) selecting a selected high intensity value (); (iii) selecting a selected low intensity value (); (iv) normalizing the intensity value to establish a normalized intensity value using the selected high intensity value and the selected low intensity value (); (v) determining an adjusted normalized intensity value for the normalized intensity value using a contrast correction function (); and (vi) scaling the adjusted normalized intensity value to get a transformed intensity value (). Subsequently, the adjusted image () can be generated using the transformed intensity value for each pixel (). The contrast correction function can be selected that provides the desired amount of sharpening. Thus, the amount of sharpening that is applied to the image () can be specifically selected.
Method For Estimating Of Direction Of Motion Blur In An Image
A method for estimating a blur direction () of motion blur () in a blurred image () includes the steps of blurring the blurred image () in a number of different test directions (A) (A) (A), and finding the test direction (A) (A) (A) for which the blurred image () changes the least by the additional blurring (). With this design, when more blur () is applied to the blurred image () in a test direction (A) (A) (A) that is similar to the blur direction (), the difference in the image appearance is relatively small. However, when more blur () is applied to the blurred image () in a test direction (A) (A) (A) that is very different to the blur direction (), the difference in the image appearance is relatively large. In one embodiment, a blur difference is determined for each test direction (A) (A) (A). Subsequently, the test direction (A) (A) (A) with the smallest blur difference is selected as the blur direction (). Alternatively, the estimated blur direction () can be perpendicular to the test direction (A) (A) (A) with the largest blur difference.
Method For Deblurring An Image That Produces Less Ringing
A method for reducing blurring in a blurred image () of a scene () includes the steps of: (i) creating an edge mask () from the blurred image (); (ii) extending the edge mask (; (iii) forming an initial array (e.g. extending the blurred image (); and (iv) performing Lucy-Richardson iterations, with masking. With the deblurring method disclosed herein, the reconstructed adjusted image () (i) does not have (or has significantly less) ringing artifacts around the edges () of the captured object(s) (C), and (ii) does not have (or has significantly less) ringing artifacts around border (). As a result thereof, the adjusted image () is more attractive and more accurately represents the scene ().
Automatic Illuminant Estimation And White Balance Adjustment Based On Color Gamut Unions
A system for estimating an illuminant of a scene that was captured by an input image includes a control system that generates an input gamut that includes the input colors for the input image. Further, the control system compares the input gamut to an illuminant database that includes separate information from a gamut of observable colors for a plurality of possible illuminants to estimate the possible illuminant. Each illuminant can be represented by a separate illuminant gamut. Moreover, each gamut can be organized as a matrix. Additionally, the control system can combine the input gamut with each of the illuminant gamuts to generate a separate union gamut for each of the possible illuminants. The control system can compare the union gamut and the corresponding illuminant gamut for each possible illuminant to estimate the illuminant. After estimating the possible illuminant, the control system performs color correction on the input image.
A method for sharpening a captured image includes the steps of (i) identifying a plurality of edge pixels in the captured image, (ii) reviewing the plurality of edge pixels to identify one or more line pixels, and one or more non-line pixels in the captured image (), and (iii) sharpening the captured image utilizing a first level of overshoot control for the non-line pixels (), and utilizing a second level of overshoot control for the line pixels () The method also includes the steps of (i) identifying an intensity value for each of a plurality of neighboring pixels that are positioned near a selected pixel in a predetermined pixel window that have the highest intensity values and the lowest intensity values.
Apparatus And Methods For Determining An Initially Unknown Commutation Position Of A Member Moved By A Planar Motor
Scott Coakley - Belmont CA, US Radka Tezaur - Fremont CA, US
International Classification:
G05B 1/02
US Classification:
318653
Abstract:
An exemplary stage apparatus has a motor, stage, and position-measuring device. The motor has a planar stator and moving-coil mover (planar motor). The stator is a checkerboard magnet array extending in an x-y plane and producing a magnetic field having a field period of 2π in a u-v coordinate system rotated 45 from the x-y coordinate system of the plane. The stage, coupled to the mover, moves with corresponding motions of the mover relative to the stator. The position-measurement device includes a first group of four magnetic-field sensors that are movable with the stage. The sensors are situated at integer multiples of π/2 from each other in u- and v-directions of the u-v coordinate system. The sensors produce respective data regarding a respective component of the magnetic field at, and hence the position of, the respective sensor within the period of the magnetic field.
Method For Detecting Existence Of Dust Spots In Digital Images Based On Locally Adaptive Thresholding
A method for detecting a dust spot () in a digital image () includes the steps of determining () an expected dust spot configuration () of the dust spot () in the image (); applying () a statistic order filter to a value channel of an HSV color space of the image to generate a filtered value for each pixel being evaluated (), the filtered value being based upon the expected dust spot configuration (); and comparing () the filtered value to an actual color space value of a plurality of pixels () in the digital image () to generate () a binary image (). In one embodiment, the method can also include the step of comparing () the binary image () to the expected dust spot configuration () to determine a probability of the presence of the dust spot () in the digital image ().
Methods And Apparatus To Control Appearance Of Views In Free Viewpoint Media
Methods and apparatus to control appearance of views in free viewpoint media are disclosed. An apparatus includes at least one memory; instructions; and processor circuitry to execute the instructions to: determine a first point in three-dimensional space relative to a plurality of real-world cameras, the first point corresponding to a region of interest in a real-world scene to be captured by the real-world cameras; determine, independent of the first point, a second point in the three-dimensional space; and determine parameters for a virtual camera based on both the first point and the second point, the parameters to enable generation of a virtual image from a perspective of the virtual camera based on a modification of a real-world image captured by one of the real-world cameras.
Youtube
Petric Popa la Tezaur folcloric (@TVR1)
Moment din ediia Tezaur folcloric din 29 aprilie. Gheorghia Nicolae i ...
Duration:
4m 2s
Bunica Ioana si Bunicu Costica - Tatarca 2003
Bunica Ioana si Bunicu Costica - Tatarca 2003.
Duration:
5m 6s
Beatos virtuv. ventins silks platybs, senosio...
Kad nieko netrkt kitais metais, reikia visko paragauti.
Duration:
51m 22s
4 ORE DE MUZICA POPULARA - TOPUL MUZICII POPU...
| | Productor - GS Music Folclor #top25videoclipu... Toate drepturi...
Duration:
4h 52m 21s
Jau drz Latvijas pierobea. Dienasgrmata. 4. r...
Latgales reionls televzijas raidjumu cikls Latvijas pierobea. Dienasgr...