摘要:
A system and method for correcting nonuniformity in far-infrared (FIR) images captured by a shutterless FIR camera. The method includes determining a noise of a current image based on updating a noise estimate of a previous image with a noise estimate of a current image; determining a weight mask matrix of the current image, where the weight matrix includes high values corresponding to pixels of the current image in which noise estimation is facilitated, and low values corresponding to pixels of the current image in which noise estimation is inhibited; applying the weight mask matrix to the current image; and correcting the nonuniformity of the current image incrementally based on the determined noise of current image and the applied weight mask matrix.
摘要:
The invention concerns a method of image processing involving: receiving, by a processing device, an input image (IB) captured by a pixel array sensitive to infrared radiation; determining, based on the input image and on a column component vector (VCOL), a first scale factor (α) by estimating a level of the column spread present in the input image; generating column offset values (α.VCOL(y)) based on the product of the first scale factor with the values of the vector; determining, based on the input image and on a 2D dispersion matrix (IDISP), a second scale factor (β) by estimating a level of the 2D dispersion present in the input image; generating pixel offset values (β.IDISP(x,y)) based on the product of the second scale factor with the values of the matrix; and generating a corrected image (IC′) by applying the column and pixel offset values.
摘要:
A phase difference AF processing unit (19) compares subject images between a region R1 and a region Rj (j=2 to m) in an AF area (53), and determines a phase difference detection pixel (52A, 52B) as a detection signal addition target with respect to a phase difference detection pixel (52A, 52B) in the region R1 among phase difference detection pixels (52A, 52B) in the region Rj. Further, the phase difference AF processing unit (19) adds up detection signals with respect to the phase difference detection pixels (52A, 52B) in the region R1 and the phase difference detection pixels (52A, 52B) which are addition targets, and generates a defocus amount (Df1) from a result of a correlation operation using detection signals after addition. A system control unit (11) drives a focus lens according to the defocus amount (Df1) to perform a focusing control.
摘要:
A solid-state imaging device includes: a valid area including pixels that are not shielded from light; a first light-blocked area and a second light-blocked area each including pixels that are shielded from light; an analog-to-digital converting unit to convert the electric charge accumulated by the pixels belonging to the first light-blocked area, the valid area, and the second light-blocked area, to image data at a time; a signal reading unit to read light-blocked data obtained from the first light-blocked area and the second light-blocked area, and valid data obtained from the valid area, in units of pixels; a reference black level estimating unit to estimate a reference black level of the light-blocked data; and a level correction unit to correct, based on the estimated reference black level, a size of the valid data obtained simultaneously with the light-blocked data used in estimating the reference black level.
摘要:
In some embodiments, methods or systems may be provided for an imaging system including an imaging sensor, wherein frames or sub-frames of intensity data may be acquired from some or all pixels of the frame, and a moving kernel, smaller than the frame or sub-frame, is moved over the frame for analysis. The values of the center column of the kernel may be compared to the outer column values of the kernel and a column offset for the center column may be determined. Only one offset value may be stored at any one time for each pixel in the frame or sub-frame.
摘要:
A processing device which obtains distance information of a subject, including: a calculation unit configured to calculate the distance information of the subject from a difference in blur degree of a plurality of images photographed by an imaging optical system; a correcting unit configured to correct the distance information using correction data in accordance with an image height in the imaging optical system; and an extraction unit configured to extract at least one frequency component from each of the plurality of images, wherein the calculation unit calculates the distance information from a difference in blur degree in the plurality of images in the at least one frequency component; and the correcting unit corrects the distance information using correction data in accordance with an image height in the at least one frequency component.
摘要:
A radiographic-image processing apparatus that can accurately remove striated artifacts superimposed onto image data taken by an FPD radiographic imaging device includes: a partitioning section that partitions a region, in which image data taken by a radiographic imaging device is arranged two-dimensionally, into segments; a mean-value computation section that computes mean values from the image data along the same scanning line in each segment; an edge compression section that compresses mean-value differentials in boundary regions between the imaged subject and the surroundings thereof; a filtering section that applies an adaptive filter to the differential-compressed profile; and a correction-data creation section that creates correction data on the basis of each datum in the adaptive-filtered profile. Image data in which noise is removed is generated by subtracting corresponding correction data from the image data.
摘要:
Methods and apparatus for effecting a non-uniformity correction of images of a scene obtained with an array of detector elements are disclosed. A first image of the scene having a first integration period is acquired using the array of detector elements. A second image of the scene having a different integration period is acquired, and a corrected image of the scene is generated by computing a difference of the images. In some embodiments, the first and second images are images of substantially identical scenes. According to some embodiments, the images are infrared images. Optionally, the corrected image is subjected to further correction using pixel dependent correction coefficients, such as gain coefficients. Exemplary image detection elements include but are not limited to InSb detector elements and ternary detector elements, such as InAlSb, MCT (Mercury Cadmium Telluride), and QWIP technology (Quantum Well Infrared Photodiodes). In some embodiments, the detector elements are cooled to a temperature substantially equal to an atmospheric boiling point of liquid nitrogen. Alternatively, the detector elements are cooled to a temperature below an atmospheric boiling point of liquid nitrogen, or any other operating temperature.
摘要:
The invention relates to matrix image sensors, and it relates more particularly to a method for correcting the spatial noise generated by the dispersion of the physical properties of the different individual sensitive dots, or pixels, of the matrix. For each pixel, in an individual electronic circuit associated with the pixel, a recursively digital method is used to determine an approximate value (Mij,n) of an average of the signal Sij,n obtained from the pixel during this large number of images; the signal obtained from each pixel is corrected according to the determined approximate average value and according to a reference average value (M0), and a corrected signal S*ij,n is transmitted from the circuit associated with the pixel.
摘要:
In various embodiments, a method and system for compensating non-uniformities among detector elements of a detector array, without the use of dither mirrors or requirement of scene motion for non-uniformity correction achieved by computing scene spatial gradient and temporal gradient of image frames of the scene captured by the detector array at different times, and utilizing both the scene spatial and temporal gradients in detailed local gradient processing. Such local gradient processing may include computing masks to preserve spatial scene details, while eliminating scene noise (e.g., fixed pattern noise) from the captured image frames and correcting non-uniformity among detector elements.