14 results about "Color filter array" patented technology

An electronic device includes: memory; a color filter array (CFA); an image sensor operatively connected to the CFA, the image sensor being configured to capture a plurality of images respectively having a plurality of measured spectral densities in a plurality of spectral bands; and a processor operatively connected to the at least one memory and the image sensor, wherein the at least one processor is configured to: measure a plurality of crosstalk values in a plurality of pixels and in a plurality of K channels of the plurality of images (the K represents a number of pixels per a color of the CFA), estimate a plurality of spectral-crosstalk values by applying an estimation function to the plurality of crosstalk values, and control to store, in at least one of the memory, the image sensor, or the processor, the estimated plurality of spectral-crosstalk values.

An image sensor includes a pixel array and a color filter array covering the pixel array, where the color filter array includes a plurality of color filter elements, the plurality of color filter elements include at least one first color filter element and at least one second color filter element, each first color filter element includes a basic color filter and an extended color filter, and each second color filter element includes a plurality of basic color filters. A color of the extended color filter is different from a color of the basic color filter. An optical signal passing through the basic color filter is at least for imaging, and an optical signal passing through the extended color filter is for spectral measurement.

The application provides an image sensor and an imaging device. The image sensor comprises a microlens array, a color filter array and a photosensitive pixel array. The microlens array comprises a plurality of first lens units and at least one second lens unit. The color filter array comprises a plurality of first color filter units and at least one second color filter unit. The transmittance of the first color filter units is different from that of the second color filter units. The first lens units are arranged correspondingly to the first color filter units, and the second lens units are arranged correspondingly to the second color filter units. The photosensitive pixel array comprises a plurality of pixel units. The first color filter units cover at least one pixel unit, and the second color filter units cover at least one pixel unit. Light signals passing through the first lens units and the first color filter units form first electric signals. Light signals passing through the second lens units and the second color filter units are used to form at least second electric signals. An image signal is formed based on the first electric signals and the second electric signals.

This invention provides an image reconstruction method, an image sensor, and a terminal device. The method includes: acquiring a color filter array image collected by the image sensor; acquiring a high-frequency image and a low-frequency image based on the color filter array image; for each pixel in the high-frequency image, acquiring the region feature fusion weight and distance feature fusion weight corresponding to that pixel; for each pixel in the high-frequency image, acquiring the mixing weight corresponding to that pixel based on the region feature fusion weight and distance feature fusion weight; and fusing the high-frequency image and the low-frequency image based on the mixing weight corresponding to each pixel in the high-frequency image to generate a reconstructed image. This invention can improve the image quality noise and false colors in the edge areas while ensuring the clarity of details in the central region of the image, thereby significantly improving the overall image reconstruction quality.

An image processing method and apparatus. The method comprises: performing decoding from a first encoded bitstream to obtain a first RAW image, the first RAW image comprising any one of the following: an image in a color filter array (CFA) format, an image in an RGGB format, and an image in a YCoCgDg format; performing image signal processing (ISP) on the first RAW image to obtain a first RGB image; encoding the first RAW image to obtain a second encoded bitstream; and performing decoding from the second encoded bitstream to obtain a second RAW image, the first RGB image and the second RAW image satisfying a first mapping relationship. The first mapping relationship can be used for acquiring an RGB image corresponding to a RAW image decoded from an encoded bitstream, to restore or improve the quality of the RAW image, thereby reducing compression information loss of RAW data and improving the closed-loop efficiency and benefits of RAW data.

The present disclosure relates to an image processing method, device, electronic equipment, storage medium and product. The image processing method comprises: acquiring an original image output by a color filter array, N×N same-color pixels in the color filter array being arranged adjacently; separating each color channel in three primary color channels of the original image, and dividing each color channel obtained by separation into a plurality of image blocks in units of N×N; respectively extracting semantic features of each image block for each color channel, and aligning each color channel in the three primary color channels; for each color channel obtained by alignment, respectively completing semantic features of image blocks in other color channels based on semantic features of image blocks in the respective color channel, to obtain a target image. Through the present disclosure, a target image with rich details and enhanced image quality can be obtained.

A method of processing image data includes: receiving image data from a color filter array including N×N same color pixels; converting first pixel data in an N×N array into second pixel data in an (N−L)×(N−M) array, wherein the first pixel data is output from the N×N same color pixels; and generating third pixel data in the N×N array by performing reconstruction on the second pixel data, wherein each of “L” and “M” is a natural number that is greater than or equal to 1 and less than N, and “N” is a natural number that is greater than or equal to 2.

A multi-aperture imaging system comprising a first camera with a first sensor that captures a first image and a second camera with a second sensor that captures a second image, the two cameras having either identical or different FOVs. The first sensor may have a standard color filter array (CFA) covering one sensor section and a non-standard color CFA covering another. The second sensor may have either Clear or standard CFA covered sections. Either image may be chosen to be a primary or an auxiliary image, based on a zoom factor. An output image with a point of view determined by the primary image is obtained by registering the auxiliary image to the primary image.

An image sensor package may include a chip region, a residual scribe lane region surrounding the chip region, an image sensor chip including a first chip portion in the chip region and a first residual scribe lane portion in the residual scribe lane region, a logic chip disposed under the image sensor chip and including a second chip portion in the chip region and a second residual scribe lane portion in the residual scribe lane region, a transparent substrate disposed over the image sensor chip, a dam disposed between the image sensor chip and the transparent substrate, and the dam covering an upper surface of the first residual scribe lane portion and a portion of an upper surface of the first chip portion adjacent to the first residual scribe lane portion. The first chip portion includes a color filter array and a micro lens array on the color filter array.

A semiconductor device may include a color filter array, an optical synapse array including a plurality of light passage paths transferring light incident through the color filter array with independently controlled transmissivities, and an optical-to-digital conversion circuit converting the transferred light through the plurality of light passage paths into digital data.

Obtain a non-Bayer color filter array (CFA) input image, where the non-Bayer CFA input image includes a reference image and a non-reference image, each having a non-Bayer CFA pattern. Generate a reference luminance image and a non-reference luminance image corresponding to the reference Bayer-like pattern based on the reference image and the non-reference Bayer-like pattern based on the non-reference image, respectively. The resolution of each luminance image is approximately half the resolution of each input image. Perform a smoothing operation on the luminance images to remove artifacts and generate a filtered reference luminance image and a filtered non-reference luminance image. Identify motion vectors based on the filtered luminance images and enlarge the motion vectors and the filtered luminance images to generate enlarged motion vectors and enlarged luminance images. Perform high-resolution thinning on the enlarged motion vectors based on the enlarged luminance images to generate the final motion vectors, and align the input images to each other based on the final motion vectors.

This invention provides a method for calibrating weak pixels in images, a correction method, an image sensor, and a terminal device. The calibration method includes: acquiring multiple frames of color filter array images; performing pixel merging processing on each frame of the color filter array images to obtain multiple frames of first standard Bayer images; performing merging and noise reduction operations on the multiple frames of first standard Bayer images to obtain second standard Bayer images; performing gain and sharpening operations on the second standard Bayer images to obtain third standard Bayer images; for each pixel in the third standard Bayer image, determining whether the pixel value of the pixel exceeds the corresponding preset pixel value range; if so, determining that the pixel is a weak pixel; and generating a weak pixel location table based on the location information of all weak pixels. This invention can effectively identify potential weak pixels and calibrate and record them.