Abstract:
A method of focusing an image sensor includes scanning a first portion of an image frame from an image sensor a first time at a first rate to produce first focus data. A second portion of the image frame from the image sensor is scanned at a second rate to read image data from the second portion. The first rate is greater than the second rate. The first portion of the image frame is scanned a second time at the first rate to produce second focus data. The first focus data and the second focus data are compared, and the focus of a lens is adjusted in response to the comparison of the first focus data and the second focus data.
Abstract:
A method determines a pixel value in a high dynamic range image from two images of different brightness by obtaining corresponding input pixel intensities from the two images, determining combination weights, and calculating the pixel value in the high dynamic range image as a weighted average of the input pixel intensities. Another method determines a pixel value in a high dynamic range image from more than two images by forming pairs of corresponding input pixel intensities, determining relative combination weights for the input pixels intensities for each pair, applying a normalization condition to determine absolute combination weights, and calculating the pixel value in the high dynamic range image as a weighted average of the input pixel intensities. Systems for generating high dynamic range image generation from two or more input images include a processor, a memory, a combination weight module, and a pixel value calculation module.
Abstract:
A method for combining array camera images with feature-based ghost removal includes (a) receiving, from an array camera, a first image and a second image respectively captured by a first camera and a second camera of the array camera, (b) rectifying and aligning the first image and the second image, (c) after said rectifying and aligning, identifying features in the first image to produce at least one first feature image each indicating features in the first image, and identifying features in the second image to produce at least one second feature image each indicating features in the second image, (d) comparing the at least one first feature image with the at least one second feature image to determine a ghost mask defining combination weights for combination of the first image with the second image.
Abstract:
A lane detection system includes a non-volatile memory storing machine-readable instructions and an image processor capable of receiving a road image. The image processor, when executing the machine-readable instructions, is capable of: (i) processing the road image to identify a lane candidate within a lane-existing region of the road image, the lane-existing region having (a) a near subregion including an imaged road region nearer to the vehicle and (b) a far subregion including an imaged road region farther from the vehicle, (ii) verifying the lane candidate as a true lane candidate when a minimum distance between (a) a line fit to a portion of the lane candidate in the near subregion and (b) a predetermined reference point in the road image is less than a neighborhood distance; and (iii) extending the true lane candidate into the far subregion to form a detected lane marker demarcating the lane marker.
Abstract:
A method for removing a ghost artifact from a multiple-exposure image of a scene method includes steps of generating and segmenting a difference mask, determining a lower threshold and an upper threshold, generating a refined mask, and generating a corrected image. The difference mask includes a plurality of absolute differences in luminance-values between the multiple-exposure image and a first image of the scene. The segmenting step involves segmenting the difference mask into a plurality of blocks. The lower and upper thresholds are based on statistical properties of the blocks. The method generates the refined mask by mapping each absolute difference to a respective one of a plurality refined values, of the refined mask, equal to a function of the absolute difference, the lower threshold, and the upper threshold. The corrected image is a weighted sum of the first image and the multiple-exposure image, weights being based on the refined mask.
Abstract:
An imaging system includes an image sensor to capture a sequence of images, including a low dynamic range (LDR) image and a high dynamic range (HDR) image, and a processor coupled to the image sensor to receive the LDR image and the HDR image. The processor receives instructions to perform operations to segment the LDR image and HDR image into a plurality of segments. The processor also scans the plurality of LDR and HDR image segments to find a first image segment in the plurality of LDR image segments and a second image segment in the plurality of HDR image segments. The processor then finds interest points in the first and second image segments, and determines an alignment parameter based on matched interest points. The LDR image and the HDR image are combined in accordance with the alignment parameter.
Abstract:
An imaging system includes an image sensor configured to capture a sequence of images including at least one low dynamic range (LDR) image and at least one high dynamic range (HDR) image. The imaging system also includes readout circuitry. The readout circuitry is coupled to read out image data captured by the image sensor. A processor is coupled to the readout circuitry to receive image data corresponding to the at least one LDR image and image data corresponding to the at least one HDR image. The processor is configured to combine high frequency image data extracted from image data corresponding to the at least one LDR image with low frequency image data extracted from image data corresponding to the at least one HDR image to form a composite image.
Abstract:
Embodiments of a color filter array include a plurality of tiled minimal repeating units, each minimal repeating unit comprising an M×N set of individual filters, and each individual filter in the set having a photoresponse selected from among four different photoresponses. Each minimal repeating unit includes a checkerboard pattern of filters of the first photoresponse, and filters of the second, third, and fourth photoresponses distributed among the checkerboard pattern such that the filters of the second, third, and fourth photoresponses are sequentially symmetric about one or both of a pair of orthogonal axes of the minimal repeating unit.
Abstract:
Embodiments are disclosed of a color filter array including a plurality of tiled minimal repeating units. Each minimal repeating unit comprises a set of individual filters grouped into an array of M rows by N columns, wherein each set of individual filters includes a plurality of individual filters having at least first, second, third, and fourth spectral photoresponses. If M equals N, at least two directions within each minimal repeating unit include individual filters having all the spectral photoresponses, the at least two directions being selected from a set of directions consisting of row, column, major diagonal and minor diagonal. And if M≠N at least two directions within each of one or more N×N or M×M cells within the minimal repeating unit include individual filters having all the spectral photoresponses, the at least two directions being selected from a set of directions consisting of row, column, major diagonal and minor diagonal of each cell.
Abstract:
Embodiments of a color filter array include a plurality of tiled minimal repeating units, each minimal repeating unit comprising an M×N set of individual filters, and each individual filter in the set having a photoresponse selected from among four different photoresponses. Each minimal repeating unit includes a checkerboard pattern of filters of the first photoresponse, and filters of the second, third, and fourth photoresponses distributed among the checkerboard pattern such that the filters of the second, third, and fourth photoresponses are sequentially symmetric about one or both of a pair of orthogonal axes of the minimal repeating unit.