Samsung Electronics Co., Ltd.

Chan Young Jang

Hee Joo Kang

Woo Seok Choi

Jong Min You

Seong Yeong Jeong

Hyoung Seok Ko

Gyeong Sung You

Eun Jae Hyun

Young Jun Song

An image processing device and an image processing method are provided. The image processing device includes an image sensor configured to sense and output a raw image and an image signal processor configured to compare pixel values of the raw image with a reference level to classify a saturation color image and a non-saturation color image, calculate a first fixed pattern noise from the saturation color image, calculate a second fixed pattern noise from the non-saturation color image, generate a final fixed pattern noise by combining the first fixed pattern noise with the second fixed pattern noise, and output a revised image by subtracting the final fixed pattern noise from the raw image.

Image sensing device and image processing method of the same

An image sensor is provided. The image sensor includes: a pixel array including a plurality of pixel groups arranged in a Bayer pattern; a row driver connected to a row of the pixel array; and a readout circuit configured to sample a pixel signal from the pixel array, to compare the sampled pixel signal with a ramp signal, and to generate a digital image signal based on a comparison of the pixel signal and the ramp signal. A pixel group of the plurality of pixel groups includes sixteen sub-pixels arranged in a 4×4 array, the 4×4 array includes a plurality of readout areas, and the plurality of readout areas are activated alternately with each other. In each of the plurality of readout areas in the pixel group, micro lenses are arranged asymmetrically with each other.

Image sensor

An image sensor includes; a pixel array disposed in a Bayer pattern and including pixels which respectively generate electrical charge according to received light incident, and an analog logic configured to convert an analog signal output from at least one pixel among the pixels into a first digital code using analog-to-digital conversion, and convert the first digital code into a second digital code by adjusting low-order bits of the first digital code in response to a control signal.

Image sensor, image sensing device including same, and operating method

An image signal processing method includes: detecting a high frequency component in an input image received from an image sensor; calculating a ratio of the detected high frequency component; reconstructing a high frequency image based on the calculated ratio; and outputting an output image by combining the reconstructed high frequency image with a non-high frequency image of the input image.

Image signal processing method, image sensing device including an image signal processor

An image sensor having improved image quality is provided. The image sensor includes a first array of pixels, a second array of pixels, and a binning module. The first array of pixels has a color pattern formed in an n&#xd7;m array and includes at least first-color pixels, second-color pixels, and third color-pixels. The second array of pixels is adjacent to the first array of pixels and has the same color pattern formed in an n&#xd7;m array as the first array of pixels, to include at least first-color pixels, second-color pixels, and third color-pixels. The binning module is configured to, for a sensed image: perform binning on the first-color pixels of the first array, the first-color pixels of the second array, the second-color pixels of the first array, and the third-color pixels of the second array, and not perform binning on the third-color pixels of the first array, and not perform binning on the second-color pixels of the second array.

Image sensor and method for sensing image

Provided is an image sensing apparatus including an image sensor including a pixel array configured to output a raw image having a Bayer pattern, and an analog end configured to perform an analog binning process on groups of pixels of same colors included in same columns of each of a plurality of sub-kernels corresponding to a first green pixel, a red pixel, a blue pixel, and a second green pixel, and output median values for different colors, and a digital signal processor configured to perform a digital binning process on the median values for the different colors included in different columns of each of the plurality of sub-kernels, and output a binned image.

Image sensing apparatus and image binning method thereof

An image signal processor is provided. The image signal processor includes a white balancing block which performs white balancing on a raw RGB image of a Bayer pattern received from an image sensor on a kernel basis or in a kernel unit, a green generation block which performs cross-binning on white-balanced G pixel to generate a first green pixel, and adds a high-frequency component to which a preset weight is applied to generate a binned green pixel, a red-blue generation block which generates a U pixel and a V pixel indicating directionality, on the basis of the binned green pixel, a white-balanced R pixel, and a white-balanced B pixel, and merges the binned green pixel to each of the U pixel and the V pixel to generate a binned red pixel and a binned blue pixel and an inverse white balancing block which performs an inverse white balancing on the binned red pixel, the binned green pixel, and the binned blue pixel to output a final binning image.

Growing community of inventors

Pohang-si, South Korea

Chan Young Jang