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公开(公告)号：US20240242535A1
公开(公告)日：2024-07-18
申请号：US18138227
申请日：2023-04-24
Applicant: REALTEK SEMICONDUCTOR CORP.
Inventor： Kai-Chun Su , Chao-Hsun Yang , Shih-Tse Chen
CPC classification number: G06V40/165 , G06V10/806 , G06V10/82 , G06V40/166 , G06V40/171
Abstract: A detection system and a detection method are provided. The detection method includes: receiving an image containing a face by an angle acquisition module and obtaining a first angle, a second angle and a third angle of the face based on the image; obtaining a first projection value and a second projection value based on the first angle, the second angle and the third angle by a projection calculation module; and performing by a confidence calculation module: performing an exponentiation calculation on the first projection value based on a first correction value to obtain a third value; performing an exponentiation calculation on the second projection value based on a second correction value to obtain a fourth value; and obtaining a confidence value based on the third value and the fourth value.
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公开(公告)号：US11157769B2
公开(公告)日：2021-10-26
申请号：US16407200
申请日：2019-05-09
Applicant: Realtek Semiconductor Corp.
Inventor： Chun-Chang Wu , Shih-Tse Chen
IPC: G06K9/62
Abstract: An image processing circuit includes a receiving circuit, a feature fetching module and a decision circuit. In the operations of the image processing circuit, the receiving circuit is configured to receive image data. The feature fetching module is configured to use a multi-topological-convolutional network to fetch the features of the image data, to generate a plurality of image features determined by the characteristics and weights of the convolution filter, where the image features may be smooth features or edge features. In the present invention, the convolution filters used by the feature fetching module are not limited by a square convention filter, and the convolution filters may include the multiple topological convolutional network having non-square convolution filters. By using the multiple topological convolutional network of the present invention, the feature fetching module can fetch the rich image features for identifying the contents of the image data.
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公开(公告)号：US10964029B2
公开(公告)日：2021-03-30
申请号：US16653989
申请日：2019-10-15
Applicant: Realtek Semiconductor Corp.
Inventor： Shang-Lun Chan , Tsung-Hsuan Li , Chao-Hsun Yang , Shih-Tse Chen
Abstract: A method of updating background model for an image processing device is disclosed. The method includes receiving at least a background image, counting a number of occurrences of a color of each pixel of the background image according to a color information of each pixel of the at least a background image, to establish a background model including a statistical color information about the color and the number of occurrences of the color, receiving a current image, and determining whether to update the number of occurrences of the color in the background model corresponding to a color of each pixel of the current image according to a color information of each pixel of the current image and a result of comparing a random number with a threshold.
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公开(公告)号：US10055820B2
公开(公告)日：2018-08-21
申请号：US15439357
申请日：2017-02-22
Applicant: REALTEK SEMICONDUCTOR CORP.
Inventor： Tsung-Hsuan Li , Hao-Tien Chiang , Shih-Tse Chen
CPC classification number: G06T5/002 , G06K9/4661 , G06K9/6276 , G06T5/50 , G06T2207/10016 , G06T2207/20182 , G06T2207/20216 , G06T2207/20224
Abstract: An image de-noising method and an apparatus thereof are disclosed, which includes categorizing a pixel in a current frame into a first low-frequency pixel having a first weight and a first high-frequency pixel having a second weight; categorizing a previous pixel corresponding to the position of the pixel in a previous frame into a second low-frequency pixel having a third weight and a second high-frequency pixel having a fourth weight; adjusting the first weight and the third weight and calculating the weighted sum of the first low-frequency pixel and the second low-frequency pixel, to generate low-frequency pixel data; adjusting the second weight and the fourth weight and calculating the weighted sum of the first high-frequency pixel and the second high-frequency pixel, to generate high-frequency pixel data; and calculating the sum of the low-frequency pixel data and the high-frequency pixel data, to output the de-noised pixel.
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15.发明授权公开(公告)号：US09516261B2
公开(公告)日：2016-12-06
申请号：US14479801
申请日：2014-09-08
Applicant: Realtek Semiconductor Corp.
Inventor： Shih-Tse Chen , Wen-Tsung Huang
IPC: H04N19/102 , H04N7/01 , H04N19/132 , H04N9/04
CPC classification number: H04N7/0145 , H04N9/045 , H04N19/132 , H04N2209/046
Abstract: A false color reduction system and method for color interpolation is disclosed in the present invention. The false color reduction system includes a red/blue color interpolation signal reference level estimator, a red/blue color interpolation signal noise analyzer and a red/blue color interpolation signal noise regulator. The red/blue color interpolation signal reference level estimator receives a RGB image array and a red/blue color interpolation signal of the RGB image array to generate a green difference signal. The red/blue color interpolation signal reference level estimator generates a red/blue reference level according to the green difference signal and an average signal. The red/blue color interpolation signal noise analyzer analyzes received signals to generate analysis result. The red/blue color interpolation signal noise regulator receives the analysis result to correct the red/blue color interpolation signal.
Abstract translation: 在本发明中公开了一种用于颜色插值的假色减缩系统和方法。 假色减色系统包括红/蓝色插值信号参考电平估计器，红/蓝色插值信号噪声分析仪和红/蓝色插值信号噪声调节器。 红色/蓝色内插信号参考电平估计器接收RGB图像阵列的RGB图像阵列和红色/蓝色插值信号以产生绿色差分信号。 红色/蓝色插值信号参考电平估计器根据绿色差信号和平均信号产生红/蓝基准电平。 红/蓝色插值信号噪声分析仪分析接收信号，生成分析结果。 红色/蓝色插值信号噪声调节器接收分析结果以校正红/蓝色插值信号。
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Patent Agency Ranking
公开(公告)号：US20240242536A1
公开(公告)日：2024-07-18
申请号：US18138259
申请日：2023-04-24
Applicant: REALTEK SEMICONDUCTOR CORP.
Inventor： Kai-Chun Su , Min-Xuan Qiu , Shih-Tse Chen
CPC classification number: G06V40/165 , G06V10/82
Abstract: A detection system and a detection method are provided. The detection method includes: obtaining first, second and third keypoints of a face by a keypoint acquisition module based on an image containing the face, the keypoint acquisition module obtaining the third keypoint based on a predetermined position on a midline of a human face and the first and the second keypoints based on two paired positions outside the midline; obtaining a vector by a first calculation module based on the first and second keypoints; obtaining a two-variable linear function by a second calculation module based on the vector and the third keypoint; and substituting, by a determination module, the coordinates of the first keypoint and the coordinates of the second keypoint into the two-variable linear function to obtain first and second values, respectively, and determining the state of the face based on the first and second values.
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公开(公告)号：US11847821B2
公开(公告)日：2023-12-19
申请号：US17567147
申请日：2022-01-02
Applicant: Realtek Semiconductor Corp.
Inventor： Chien-Hao Chen , Shih-Tse Chen
IPC: G06V10/00 , G06V10/774 , G06V10/778 , G06V40/16 , G06V10/24
CPC classification number: G06V10/774 , G06V10/242 , G06V10/778 , G06V40/161
Abstract: A method for training a deep learning network for face recognition includes: utilizing a face landmark detector to perform face alignment processing on at least one captured image, thereby outputting at least one aligned image; inputting the at least one aligned image to a teacher model to obtain a first output vector; inputting the at least one captured image a student model corresponding to the teacher module to obtain a second output vector; and adjusting parameter settings of the student model according to the first output vector and the second output vector.
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公开(公告)号：US11800108B2
公开(公告)日：2023-10-24
申请号：US17695953
申请日：2022-03-16
Applicant: REALTEK SEMICONDUCTOR CORP.
Inventor： Wan-Ju Tang , Tsung-Hsuan Li , Shih-Tse Chen
IPC: H04N19/124 , H04N19/13 , G06F7/58 , H04N19/186 , H04N19/176
CPC classification number: H04N19/124 , G06F7/588 , H04N19/13 , H04N19/176 , H04N19/186
Abstract: A method for image compression and a circuit system thereof are provided. In the method, pixel values of an image are obtained. A compression scenario is decided, for example, a uniform-quantization manner or a non-uniform-quantization manner is used for an M-bit image being compressed to an N-bit image so as to decide codeword sections for the image. Every codeword section has a codeword distance. The codeword sections have a fixed codeword distance in the uniform-quantization manner. Alternatively, in the non-uniform-quantization manner, the image can be divided into multiple codeword sections having different codeword distances according to a brightness distribution. Afterwards, a random number is generated for deciding codeword and index for original value of each of the pixels. An index table is accordingly formed. The index table is provided for obtaining the codeword in a decoding process by querying a codebook with the index.
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公开(公告)号：US20230162333A1
公开(公告)日：2023-05-25
申请号：US17720280
申请日：2022-04-13
Applicant: Realtek Semiconductor Corp.
Inventor： Yu-Hsuan Kuan , Tsung-Hsuan Li , Shih-Tse Chen
Abstract: An image processing method includes: receiving an input image; performing a low-frequency image regulating operation to regulate the local intensity of the image of pixel unit(s) according to low-frequency information of the image of pixel unit(s) of the input image; performing a high-frequency image regulating operation to improve the details of the image of pixel unit(s) according to high-frequency information of the image of pixel unit (s) of the input image; and, generating an output image according to the input image, the low-frequency image regulating operation, and the high-frequency image regulating operation.
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公开(公告)号：US11495006B2
公开(公告)日：2022-11-08
申请号：US16865409
申请日：2020-05-03
Applicant: Realtek Semiconductor Corp.
Inventor： Chao-Hsun Yang , Shang-Lun Chan , Shih-Tse Chen , Chien-Hao Chen
Abstract: An object detection method and an associated electronic device are provided, wherein the object detection method includes: utilizing an image processing circuit to determine whether motion occurs in an image to generate a determination result; selectively utilizing a specific bounding box to identify a target object to generate an identification result according to the determination result, wherein the specific bounding box represents a location of the target object in a previous image; and selectively updating information of the specific bounding box according to the identification result.
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