Realtek Semiconductor Inc.

National Kaohsiung University of Applied Sciences

Chia-Wei Yu

Chun-Hsing Hsieh

Hsu-Jung Tung

Cheng-Hsin Chang

Chi-Feng Wang

Ming-Jane Hsieh

Kai-Ting Shr

DeHuei Chen

Hao-Ying Cheng

Yung-Cheng Hsiung

Yen-Lin Chen

Sen-Huang Tang

Hsin-Ying Ou

Yueh-Hsing Huang

Yen-Hsing Wu

Yung-Tai Chen

Wu-Chih Lin

Hung-Chen Chu

Yi-Ting Bao

Shang-Yen Lin

Chi-Hsiung Cheng

Yen-Ying Chen

Chia-Yu Yang

Wei-Na Chang

Min-Wen Wang

Min-Yen Hsieh

The present application provides an image processing method and an image processing system. The image processing method includes: obtaining a first image matrix; generating a first classified image matrix, wherein the first classified image matrix Includes a plurality of parts corresponding to a plurality of classification; obtaining a plurality of weightings, for a first image process, corresponding to the plurality of parts of the first classified image matrix, and generating a first weighting matrix accordingly; and performing the first image process upon the first image matrix according to the first weighting matrix to generate a first processed image matrix.

Image processing method and image processing system

The present invention provides a data transmission system and resource allocation method thereof. The data transmission system is configured to: retrieve master device resource information and slave device performance information; based on a neural network model, determine at least one arbiter setting parameter according to the master device resource information and the slave device performance information; and determine resource allocation setting of at least one master device according to the at least one arbiter setting parameter.

Data transmission system and resource allocation method thereof

A system for image scaling and enhancement is provided. The system includes a scaling processing unit, a deep-learning residue network unit and a combination unit. The filter scaling processing unit is configured to upscale a low-resolution image to output a high-resolution image. The deep-learning residue network unit is operated based on a deep-learning result, and configured to output a high-resolution residue image corresponding to the low-resolution image. The combination unit is configured to adjust the high-resolution residue image according to a weighting factor and combine an adjusted high-resolution residue image and the high-resolution image, in order to output an enhanced image, wherein the weighting factor is different from a reference weighting factor being used in a deep-learning procedure for training the deep-learning residue network unit.

Method and system for image scaling and enhancement

A signal transmission device for transmitting at least a video signal between a player device and a display device includes a signal processing device. The signal processing device includes a receiver, a signal processor and a transmitter. The receiver is configured to receive a first video signal. The signal processor is coupled to the receiver and configured to detect an image format or an image resolution of the first video signal and process the first video signal according to the image format or the image resolution to generate a second video signal. An image format of the second video signal is different from the image format of the first video signal or an image resolution of the second video signal is different from the image resolution of the first video signal. The transmitter is configured to output the second video signal.

Signal transmission device, dongle device and adaptor cable

The present invention discloses an overvoltage-proof circuit capable of preventing damage caused by an overvoltage at moments of starting and/or stopping operation. An embodiment of the overvoltage-proof circuit includes a protected circuit and a protecting circuit. The protected circuit receives a power supply voltage to operate, and includes: a protected component, in which an upmost voltage that the protected component can withstand is lower than the power supply voltage; and at least one operational switch(es) operable to enable or disable the protected circuit according to an enabling signal. The protecting circuit is coupled to the protected component, and starts protecting the protected circuit from an overvoltage before a transition of the enabling signal, in which the overvoltage is greater than the upmost voltage.

Overvoltage-proof circuit capable of preventing damage caused by overvoltage

A data bit width converter is adapted to: convert first data using a first bit width as a data segment unit and second data using a second bit width as a data segment unit, and provide a cache to temporarily store third data, wherein the first bit width is not equal to the second bit width. The data bit width converter includes a slave, a cache, and a data reconstitution circuit. The slave is configured to read and write the second data. The cache is configured to read and write the third data. The data reconstitution circuit is configured to: convert the first data and the second data, and sequentially search the cache and the slave for the second data according to a searching program, to output the first data, and write the third data to the cache according to a temporary storage program.

Data bit width converter and system on chip thereof

The present invention discloses an image processing device and an image processing method. The image processing method includes steps of: referring to multiple frames or an auxiliary data associated with the frames to determine whether the frames contain substantially the same frames; selecting the frames according to whether the frames contain substantially the same frames to generate multiple selected frames; and performing video processing on the selected frames. When the frames do not contain substantially the same frames, the selected frames are the same as the frames, and when the frames contain substantially the same frames, the selected frames are part of the frames.

Image processing device and image processing method

An image depth generation device and method thereof is disclosed in the present invention. The device includes at least a processing circuit and at least a calculator. The processing circuit receives an input image and determines a visual distance of a pixel Pi according to a color of the pixel in the input image and at least a reference value to generate a depth offset of each pixel. The calculator is coupled to the processing circuit and uses the depth offset of each pixel and a predetermined depth to generate an output depth value of each pixel in the input image.

Image depth generation device and method thereof

A three dimensional processing circuit and processing method is disclosed. In the present invention, a key depth is obtained to change an OSD location by analyzing the key image information in the 3D image. Therefore, the disadvantages of the conventional 3D processing circuit and processing method are fixed so as to decrease fatigue of user's eyes.

Three dimensional processing circuit and processing method

A device for transforming 2D images into 3D images includes a position calculation unit and an image processing block. The position calculation unit generates multiple start points corresponding to multiple pixel lines of a panel according to a display type of the panel. The image processing block reshapes multiple input enable signals into multiple output enable signals according to the start points. The pixel lines of the panel displays the output data signal as multiple image signals respectively according to the output enable signals. The image signals include multiple left-eye image signals and multiple right-eye image signals.

Device and method for transforming 2D images into 3D images

A 2D to 3D image conversion apparatus includes a data queue, a conversion unit and an offset calculation unit. The data queue receives and temporarily stores an input data value corresponding to a current pixel. The conversion unit outputs a current offset table corresponding to a current depth parameter of the current pixel. The current offset table includes (m+1) reference offsets corresponding to the current pixel and neighboring m pixels. The offset calculation unit selects one of the reference offsets corresponding to the current pixel in the current offset table and multiple previous offset tables as a data offset corresponding to the current pixel. The data queue selects and outputs an output data value corresponding to the current pixel according to an integer part of the data offset and the input data value.

2D to 3D image conversion apparatus and method thereof

An image adjustment method includes the steps of: a) configuring a weight-value generator to receive first image data and specified data and to generate an adaptive weight value according to the first image data and the specified data; and b) configuring an image blender to receive the first image data and second image data, and to generate adjusted image data by blending the first image data and the second image data with reference to the adaptive weight value. The adaptive weight value has a magnitude that corresponds to a difference between the first image data and the specified data.

Image adjustment method and device

A video processing method enlarging and enhancing sharpness of input video data includes following steps. First, N sets of pixel row data of the input video data are respectively buffered in N linear buffers, N is a natural number. Next, I sets of enlarged pixel row data are generated by interpolation according to the buffered N sets of pixel row data in the N linear buffers and a currently inputted set of pixel row data, I is a natural number greater than N. Then, I sets of smoothed and enlarged pixel row data are generated according to the buffered N sets of pixel row data in the N linear buffers and the (N+1)set of pixel row data. Thereafter, I sets of sharpness-enhanced pixel row data are obtained according to the I sets of enlarged pixel row data and the I sets of smoothed and enlarged pixel row data.

Video processing method and circuit using thereof

The invention discloses an image processing system and method thereof. The image processing system includes an local variance estimator, a noise detector, a spatial de-noise filter. The local variance estimator estimates each pixel of an input image signal to separately output a local variance value of each pixel, and generates a noise threshold according to the local variance values. The noise detector determines which pixel indicates noise or image according to the noise threshold. The spatial de-noise filter filers the pixel indicating noise to generate an output image signal.

Image processing system and spatial noise reducing method

A mold for molding a green body for manufacturing a zirconium oxide dental implant includes a first molding part and a second molding part. The first and second molding parts each has a first imprinting inner surface and two none-thread inner surfaces for forming the external of the green body with two external thread sections and two none-thread sections. The mold may also include a driving mechanism, a polygonal conical slider and a screw thread forming rod. The polygonal conical slider can be driven for axially sliding into the mold cavity without rotation. The screw thread forming rod is coaxially and slidably penetrated the polygonal conical slider and driven by the driving mechanism for screwing into the mold cavity and unscrewing out of the mold cavity thereby forming the inner of the green body with an internal thread and a polygonal tapering section.

Growing community of inventors

Taipei, Taiwan

Chia-Wei Yu