12 results about "Fixed-pattern noise" patented technology

This application provides a signal processing device, image sensor, electronic device, and signal processing method, relating to the field of sensor technology. It improves column fixed-pattern noise in image sensors and enhances image quality. Specifically, the signal processing device includes a switching module, a switching decoder, a multiplexer, and multiple signal conversion modules. Multiple input terminals of the switching module are coupled one-to-one with multiple pixel circuits; multiple output terminals of the switching module are coupled one-to-one with the input terminals of the multiple signal conversion modules; the control terminal of the switching module is coupled with the output terminal of the switching decoder; and the input terminal of the switching decoder is coupled with a timing controller. The output terminals of the multiple signal conversion modules are coupled one-to-one with the multiple input terminals of the multiplexer; the output terminal of the multiplexer is used to output the quantized pixel signal. This application embodiment describes the process of reading out the pixel signal.

This invention provides a fixed-pattern noise reduction method based on an encoder-decoder network, comprising: S1. Acquiring RAW images using an electronic imaging device equipped with a target image sensor, and creating a paired dataset for training a denoising model; S2. Performing necessary preprocessing on the dataset, expanding the dataset size and increasing its diversity through data augmentation; S3. Designing a lightweight encoder-decoder network, which consists of an encoder, connection layers, a decoder, and an output layer; S4. Training the encoder-decoder network based on the preprocessed paired dataset; S5. After the model training reaches convergence, loading the preprocessed, uncropped complete image into the model, and obtaining the denoised image through post-processing. This method utilizes the powerful fitting ability of the encoder-decoder network to eliminate prominent fixed-pattern noise in low-light images, and is applicable to different types of image sensors; the designed encoder-decoder network has low computational cost, making it suitable for resource-constrained edge devices.

Dynamic systems and methods for fixed noise pattern calibrations and image corrections are provided. Imaging devices may be calibrated via the system by adjusting an imaging sensor exposure to acquire one or more black images. A global average pixel value is calculated to accumulate pixel values per column of the acquired image. The calculated global average pixel value is then saved as offset imaging data. An average pixel value per column of the imaging data based on the accumulated pixel values may also be calculated, and stored as offset imaging data. A correction matrix may be recomposed based on the offset imaging data and used for calibrating the imaging sensor, and for creating corrected images in or near real time.

A method includes of fixed pattern noise (FPN) reduction includes capturing, at runtime by an image sensor of an electronic device, noisy calibration video frames, and for each noisy calibration video frame: denoising, by a processor of the electronic device, the noisy calibration video frame to obtain a denoising residue frame, and determining, by the processor, whether the denoising residue frame is suitable for aggregation based on motion of the noisy calibration video frame relative to a previously captured noisy calibration video frame. The method further includes calibrating, by the processor, an FPN map for the image sensor based on an aggregation of the denoising residue frames that are determined to be suitable for aggregation, after the calibrating, capturing, by the image sensor, noisy target video frames, and generating, by the processor, clean target video frames from the noisy target video frames based on the calibrated FPN map.

Reduce the cost required to ensure the confidentiality of image data. [Solution] The image generation device 322 comprises a storage unit 318 and a noise reduction unit 321. The storage unit 318 stores fixed pattern noise 317 from the image sensor 308. The noise reduction unit 321 removes the fixed pattern noise 317 from the first image data 310 captured by the image sensor 308 to restore the second image data 324. With the image generation device 322, since the fixed pattern noise 317 is stored in the storage unit 318 in advance, the cost required to ensure the confidentiality of image data can be reduced.

This application discloses a fixed-pattern noise correction method, device, and storage medium. The method includes: acquiring an image to be corrected; and acquiring a pre-calibrated noise response function and digital gain. The noise response function describes the mapping relationship between pixel values ​​and fixed-pattern noise. The method substitutes the pixel value of the current pixel in the image to be corrected into the noise response function to obtain the fixed-pattern noise corresponding to the current pixel. The fixed-pattern noise and digital gain are combined to obtain a final composite coefficient. Based on the composite coefficient, the pixel value of the current pixel is multiplied once to obtain the corrected value of the current pixel. By simultaneously performing fixed-pattern noise correction and digital gain correction within a single module using the composite coefficient, and directly rounding the product of the composite coefficient and the pixel value, the rounding error is linearly amplified with the digital gain to less than 1, avoiding image stripes under high digital gain and improving the image correction effect.

A method includes of fixed pattern noise (FPN) reduction includes capturing, at runtime by an image sensor of an electronic apparatus, noisy calibration video frames, and for each noisy calibration video frame: denoising, by a processor of the electronic apparatus, the noisy calibration video frame to obtain a denoising residue frame, and determining, by the processor, whether the denoising residue frame is suitable for aggregation based on motion of the noisy calibration video frame relative to a previously captured noisy calibration video frame. The method further includes calibrating, by the processor, an FPN map for the image sensor based on an aggregation of the denoising residue frames that are determined to be suitable for aggregation, after the calibrating, capturing, by the image sensor, noisy target video frames, and generating, by the processor, clean target video frames from the noisy target video frames based on the calibrated FPN map.

Various techniques are provided to reduce fixed pattern noise (FPN) associated with the capturing of infrared images by infrared detectors operating in a dual band mode. In one example, a method includes operating a plurality of infrared detectors in a dual band mode to capture infrared images alternating between a first wavelength range and a second wavelength range. The operating comprises capturing a first infrared image corresponding to the first wavelength range, switching the infrared detectors to respond to the second wavelength range, and capturing a second infrared image corresponding to the second wavelength range. The method also includes calculating a correction term to compensate for dual band mode fixed pattern noise (FPN) in the second infrared image associated with the switching. The method also includes applying the correction term to the second infrared image to reduce the dual band mode FPN. Additional methods and systems are also provided.

This application relates to the field of image processing technology, specifically disclosing an infrared image processing method, apparatus, medium, and device. The method includes: performing photometric parameter separation processing on a current raw infrared image captured by an infrared camera to obtain an initial detail layer and an initial base layer at the current moment; performing denoising processing on the initial detail layer based on the target fixed-pattern noise at the current moment to obtain a target detail layer at the current moment; determining the target base layer at the current moment using an iterative optimization method based on the initial base layer from the previous moment, the maximum response value from the previous moment, the minimum response value from the previous moment, the initial maximum response value from the current moment, the initial minimum response value from the current moment, the initial base layer at the current moment, and a feature matching set; and performing image fusion processing based on the target detail layer and the target base layer to obtain a target infrared image. This application can improve the processing effect of infrared images.

The application relates to a programmable gain amplifier circuit for extending the dynamic range of an image sensor, comprising a switched capacitor circuit and a negative feedback DC offset cancellation circuit; the switched capacitor circuit is used for twice correlated double sampling and amplification processing of the output signal of the image sensor pixel column, eliminating the fixed pattern noise and reset thermal noise, and outputting high-sensitivity and low-sensitivity analog voltages; the negative feedback DC offset cancellation circuit is used for reducing the influence of the offset voltage of the main operational amplifier on the output voltage by adopting an operational amplifier offset voltage storage mode. In the application, the image column fixed pattern noise caused by the offset voltage of the main operational amplifier can be greatly reduced through the operational amplifier offset storage technology, and the high-sensitivity and low-sensitivity analog signal inputs can be provided for the post-processing circuit in time through the twice correlated double sampling processing technology, so that the dynamic range of the image sensor is extended, and the image imaging quality is improved.