Abstract:
A lens distortion correction device and an application processor having the same include a distortion correction unit configured to correct a distorted image into an undistorted image and an image enhancement unit configured to improve the undistorted image using a high-frequency component of the distorted image.
Abstract:
An image signal processing device includes a channel converter to divide an input signal stream, that includes image signals generated by a plurality of pixels, by processing units and generate a plurality of processing unit signals, an image signal processing core including a plurality of image processing channels each performing an image signal processing operation, and generating a plurality of output unit signals by receiving and processing the plurality of processing unit signals in parallel through one or more of the plurality of image processing channels, a channel combiner to combine the plurality of output unit signals and generate an output signal stream, and a configuration controller to control, according to an operation mode, at least one of the number of the plurality of processing unit signals, selection of a frequency of a processing clock signal, and combination of the plurality of output unit signals.
Abstract:
A method of removing noise from image data output from an image sensor includes comparing a target block in the image data with each of at least one comparison blocks around the target block in the image data. A center pixel similarity between center pixels of the target block and each comparison block is calculated. A neighboring pixel similarity between neighboring pixels neighboring the center pixels in the target block and each comparison block is calculated. The method includes determining whether an impulsive noise exists in the center pixel of the target block based on the center pixel similarity and the neighboring pixel similarity. A weight applied to a value of the center pixel of each comparison block is adjusted based on a result of the determining. Weighted averaging is performed on values of the center pixels of the comparison blocks to estimate a value of the center pixel of the target block.
Abstract:
A lens distortion correction device and an application processor having the same include a distortion correction unit configured to correct a distorted image into an undistorted image and an image enhancement unit configured to improve the undistorted image using a high-frequency component of the distorted image.
Abstract:
An image sensor chip may include a first sub-chip, a second sub-chip on the first sub-chip, and an interconnector between the first and second sub-chips. The first sub-chip may include a first substrate, a bottom electrode on a first region of the first substrate, and a first capacitor on the bottom electrode. The first capacitor may include a plurality of first electrodes vertically extending from a top surface of the bottom electrode, a second electrode on the first electrodes, and a first dielectric layer between the second electrode and the first electrodes. The second sub-chip may include a pixel array configured to convert incident light into an electrical signal. The pixel array may be electrically connected through the interconnector to the first capacitor.
Abstract:
An image sensor chip may include a first sub-chip, a second sub-chip on the first sub-chip, and an interconnector between the first and second sub-chips. The first sub-chip may include a first substrate, a bottom electrode on a first region of the first substrate, and a first capacitor on the bottom electrode. The first capacitor may include a plurality of first electrodes vertically extending from a top surface of the bottom electrode, a second electrode on the first electrodes, and a first dielectric layer between the second electrode and the first electrodes. The second sub-chip may include a pixel array configured to convert incident light into an electrical signal. The pixel array may be electrically connected through the interconnector to the first capacitor.
Abstract:
A method of processing image signals comprises determining whether each of multiple units of input pixel data received from an image sensor is bad pixel data generated by a bad pixel of the image sensor or normal pixel data generated by a normal pixel of the image sensor, and performing interpolation to generate image data corresponding to the bad pixel using only normal pixel data and omitting bad pixel data.
Abstract:
An image sensing system includes a pixel array, an analog-to-digital converter circuit, and a memory. The pixel array includes a first pixel, a second pixel, and a third pixel interposed between the first pixel and the second pixel. During a first sensing time, the analog-to-digital converter circuit converts a first image signal received from the first pixel to first image data and converts a second image signal received from the second pixel to second image data. During a second sensing time, the analog-to-digital converter circuit converts a third image signal received from the third pixel to third image data. The first image data and the second image data are written in the memory during a first write time, and the third image data are written in the memory during a second write time.
Abstract:
An image processing device includes a pixel array including multiple unit pixels each configured to generate multiple color signals in response to incident light, and a data processing unit configured to generate output image data by processing the color signals in parallel in a first operating mode, and further configured to generate two image signals for each unit pixel based on the color signals and to generate the output image data by processing the two image signals in parallel in a second operating mode.
Abstract:
An image sensor includes a pixel array having a plurality of layers and a control unit. Each of the plurality of layers including pixels having a photoelectric conversion element and a transmission transistor therein. The photoelectric conversion element is configured to collect charges during an associated charge collection time period and the transmission transistor is configured to transmit the charges to a respective floating diffusion node at an end of the charge collection time period. The control unit configured to individually instruct the transmission transistors associated with different ones of the layers to transmit the charges to the respective floating diffusion nodes such that the charge collection time periods associated with the photoelectric conversion elements implemented in at least two of the layers differs in length.