公开(公告)号：US11128842B2

公开(公告)日：2021-09-21

申请号：US16894871

申请日：2020-06-07

Applicant: Realtek Semiconductor Corp.

Inventor： Yan-Fong Chen ,  Wen-Tsung Huang

IPC: H04N9/04

Abstract: An image processing method is provided, wherein the image processing method includes the steps of: receiving raw image data from an image sensor, wherein the image sensor is a four-cell Bayer sensor, the raw image data includes color information of each pixel, and the color information of each pixel only corresponds to a single color; for a specific pixel to be processed, selecting a region including the specific pixel; referring to a position of the specific pixel to determine whether to flip color information within the region to generate a flipped region; and using color information of at least one portion of pixels within the region or the flipped region to perform an interpolation operation, to generate color information that the specific pixel lacks.

公开(公告)号：US11122188B1

公开(公告)日：2021-09-14

申请号：US17031626

申请日：2020-09-24

Applicant: REALTEK SEMICONDUCTOR CORP.

Inventor： Zhong-Yi Qiu ,  Wen-Tsung Huang

IPC: H04N5/217 ,  H04N17/00 ,  G06T5/00

Abstract: An image noise reduction device and method thereof are provided. The method includes: receiving an original image, where the original image includes a plurality of image pixels, each of the image pixels has an image pixel value and a fixed noise value, and the fixed noise value includes a decimal; obtaining a bit-shifted image pixel value, a bit-shifted fixed noise value, and a random number according to a number of bits of the decimal, the image pixel values, and the fixed noise values; obtaining a bit-shifted noise-reduced image pixel value according to the bit-shifted image pixel value, the bit-shifted fixed noise value, the random number, and a reduction equation; obtaining a noise-reduced image pixel value according to the number of bits of the decimal and the bit-shifted noise-reduced image pixel value; and obtaining a noise-reduced image according to the noise-reduced image pixel value.

公开(公告)号：US20210192688A1

公开(公告)日：2021-06-24

申请号：US17118465

申请日：2020-12-10

Applicant: Realtek Semiconductor Corp.

Inventor： Chung-Yan Chih ,  Wen-Tsung Huang

IPC: G06T3/40 ,  G06T5/00 ,  G06T7/20

Abstract: A signal processing device includes a first frame buffer configured to store a first frame, a second frame buffer configured to store a second frame and a processor. The processor is coupled to the first frame buffer and the second frame buffer and is configured to perform a first image processing procedure according to the first frame and the second frame to obtain a super resolution difference value corresponding to each pixel of the first frame, perform a second image processing procedure according to the first frame and the second frame to obtain a noise reduction value corresponding to each pixel of the first frame, selectively add the super resolution difference value and the noise reduction value to the corresponding pixel of the first frame to generate an output frame and store the output frame in the second frame buffer as the second frame.

公开(公告)号：US10922792B2

公开(公告)日：2021-02-16

申请号：US16732332

申请日：2020-01-01

Applicant: Realtek Semiconductor Corp.

Inventor： Zhong-Yi Qiu ,  Wen-Tsung Huang ,  Kai Liu

IPC: G06T5/00 ,  G06T5/20

Abstract: An image adjustment method includes: sequentially processing a plurality of pixels in at least one frame, wherein a pixel under processing is a current pixel, the current pixel and multiple adjacent pixels form a current block, and each current block is performed with following operations: reading a grayscale value of each pixel in the current block; determining a region grayscale value and a region variance of the current block according to the grayscale values of the pixels; generating a variance adjustment parameter via a variance adjustment function, wherein the region grayscale value is a variable of the variance adjustment function; generating an adjusted region variance according to the variance adjustment parameter and the region variance; and comparing the adjusted region variance with a variance threshold to determine whether to perform a noise suppression operation on the current pixel.

公开(公告)号：US20200265558A1

公开(公告)日：2020-08-20

申请号：US16546237

申请日：2019-08-20

Applicant: Realtek Semiconductor Corp.

Inventor： Zhong-Yi Qiu ,  Wen-Tsung Huang

IPC: G06T5/00 ,  G06T7/11 ,  G06T7/90 ,  H04N5/33

Abstract: An image adjustment method includes: receiving an image, and retrieving R, G and B values and an infrared ray (IR) value from the image; dividing the image into a plurality of blocks; generating initial compensation coefficients respectively corresponding to the R, G, B and IR values for each block within the blocks; and performing following operations upon each block within the blocks: adjusting initial compensation coefficients of a current block according to a plurality of adjacent blocks next to the current block, in order to generate adjusted compensation coefficients of the current block; and using the adjusted compensation coefficients of the current block to perform IR crosstalk compensation upon the current block.

公开(公告)号：US10339635B2

公开(公告)日：2019-07-02

申请号：US15725291

申请日：2017-10-05

Applicant: Realtek Semiconductor Corp.

Inventor： Ching-Ju Hsiao ,  Kai Liu ,  Wen-Tsung Huang

IPC: G06T5/00 ,  G06T7/13 ,  G06T5/20

Abstract: An image processing method for processing an input image is provided. The image processing method includes the following steps: selecting a pixel of the input image; determining if the pixel is a first image edge according to at least one first calibrated pixel and at least one second pixel in the input image, in which the first calibrated pixel corresponds to at least one first pixel in the input image; and replacing a high frequency component of at least one channel of the pixel with a first calibrating high frequency component to generate a calibrated pixel if the pixel is not the first image edge, and maintaining the pixel as the calibrated pixel if the pixel is the first image edge.

公开(公告)号：US20160086309A1

公开(公告)日：2016-03-24

申请号：US14859373

申请日：2015-09-21

Applicant: Realtek Semiconductor Corp.

Inventor： Chih-Yu Hsu ,  Wen-Tsung Huang ,  Shih-Tse Chen

IPC: G06T3/40 ,  G06T5/00 ,  G06T7/00 ,  H04N5/347

CPC classification number: G06T3/4015 ,  G06T5/002 ,  H04N5/347 ,  H04N9/07

Abstract: An image signal processing method includes: receiving an original color filter array (CFA) image and a pixel binned CFA image; computing a specific information of the pixel binned CFA image; and processing the original CFA image according to the specific information. The associated image signal processor includes an input terminal, an operating unit and a processing unit, wherein the input terminal is for receiving an original CFA image and a pixel binned CFA image, the operating unit is for computing a specific information of the pixel binned CFA image, and the processing unit is for processing the original CFA image according to the specific information and utilizing the pixel binned CFA image.

Abstract translation: 一种图像信号处理方法包括：接收原始滤色器阵列（CFA）图像和像素合并CFA图像; 计算像素分组的CFA图像的特定信息; 并根据具体信息处理原始CFA图像。 相关联的图像信号处理器包括输入端子，操作单元和处理单元，其中输入端子用于接收原始CFA图像和像素分组的CFA图像，所述操作单元用于计算像素分组的CFA的特定信息 图像，并且处理单元用于根据特定信息处理原始CFA图像并利用像素分组的CFA图像。

公开(公告)号：US11856300B2

公开(公告)日：2023-12-26

申请号：US17691192

申请日：2022-03-10

Applicant: REALTEK SEMICONDUCTOR CORP.

Inventor： Yi-Jen Wu ,  Wen-Tsung Huang ,  Ching-Ju Hsiao

IPC: H04N23/71 ,  G06V10/60 ,  G06T7/73 ,  G06V10/56 ,  G06T7/68 ,  H04N5/77 ,  G06T7/90 ,  H04N23/53 ,  H04N23/57

CPC classification number: H04N23/71 ,  G06T7/68 ,  G06T7/73 ,  G06T7/90 ,  G06V10/56 ,  G06V10/60 ,  H04N5/77 ,  H04N23/53 ,  H04N23/57 ,  G06T2207/10024

Abstract: A method for detecting interference patterns for an under-screen camera, a compensation method and a circuit system are provided. The circuit system includes an image-processing circuit and an under-screen camera module. The under-screen camera module captures an image by a lens through a glass substrate of a display module. After receiving the image, the image-processing circuit detects and compensates an interference pattern. In the method, multiple reference points are set in the image, and a brightness average value and a brightness target value for each of the reference points are obtained for calculating an area brightness ratio of the reference points. A binarized image is then obtained. The interference pattern is determined according to symmetrical characteristics of the binarized image. A target matrix is decided for compensating the interference pattern according to weights of all of the reference points of the image.

公开(公告)号：US11381796B2

公开(公告)日：2022-07-05

申请号：US16983183

申请日：2020-08-03

Applicant: REALTEK SEMICONDUCTOR CORP.

Inventor： Ching-Ju Hsiao ,  Wen-Tsung Huang

IPC: H04N9/73 ,  H04N5/33 ,  H04N9/07 ,  H04N9/04 ,  H04N9/31

Abstract: Provided herein is an image-sensing device and a method for auto white balance. An image signal processor is used to perform the method. In the method, an RGBIr photo sensor receives an image with data over red, green and blue channels. The image data over the red, green and blue channel is firstly restored. A series of weights are calculated according to the image data over an infrared channel. The weights are allocated to the image data so as to adjust the infrared ratios over the red, green and blue channels for reducing infrared effect on auto white balance. After that, an infrared weighting calculation is performed for adjusting the infrared values over the red, green and blue channels of the image. A set of white balance gains are obtained. An auto white balance is performed for obtaining a new image with infrared crosstalk compensation.

公开(公告)号：US20220207667A1

公开(公告)日：2022-06-30

申请号：US17210149

申请日：2021-03-23

Applicant: REALTEK SEMICONDUCTOR CORP.

Inventor： Yi-Hsuan Huang ,  Wen-Tsung Huang

IPC: G06T5/00 ,  G06T7/73 ,  G06T5/50 ,  G06K9/00

Abstract: A gaze direction correction method is provided. The method includes: obtaining a first image; obtaining a first gaze feature according to the first image; determining whether the first gaze feature falls within a gaze zone; if the first gaze feature fails to fall within the gaze zone, obtaining, according to the first image, a second image corresponding to the first image and obtaining an eye image corresponding to the second image; obtaining a temporary image by combining the first image and the eye image; and obtaining a face output image by modifying the temporary image.