Realtek Semiconductor Inc.

Dong-Yu He

Hong-Hai Dai

Jian Sun

Chun-Ting Liao

Yang Lu

Jian-Qiang Ni

Xiao-Yu Chen

Gang Shen

Jing Sun

Li-Cong Hou

Yang Li

Qing-Zhe Qiu

Shao-Hua Jin

Meng-Yao Gu

Jiayuan Tan

A method for authentication data transmission and a system thereof are provided. The method is operated in a computer system that is connected to a biometric device, and a secure channel is established there-between according to a security protocol. The computer system can receive encrypted biometric feature data from the biometric device based on a request. In a secure environment built in the computer system, the biometric feature data is decrypted and biometric features can be extracted. A comparison result is generated after comparing the biometric features with feature data in a database. The comparison result can be transmitted to the biometric device. The comparison result is then encrypted in the biometric device according to the security protocol. The biometric device can therefore transmit the encrypted comparison result to the computer system via the secure channel.

Method and system for authentication data transmission

A firmware updating system and method are provided. The firmware updating method includes configuring a host to digitally sign a firmware to be updated, and configuring an electronic device to perform an authorization verification on an update tool, and only the update tool that passes the verification has an update permission. The update tool uses an encryption algorithm to encrypt the firmware to be updated that includes a digital signature. After the encryption is completed, the host sends the update tool to the electronic device through the update tool. The electronic device then uses a decryption algorithm to decrypt the received firmware to obtain the firmware to be updated including the digital signature, and write the firmware to be updated into a firmware storage area to be updated. The electronic device then verifies the digital signature in the firmware to be updated.

Firmware updating system and method

A method for compressing video signals based on adaptive compression rate and a circuit system thereof are provided. In the method, a digital signal processor is used to process a video so as to frame-by-frame obtain statistical data, for example, a maximum of compressed data. The maximum of compressed data of a previous frame is used to determine a compression state of a current frame. The compression state of the frame allows the processor to decide a direction to adjust a compression ratio. Next, statistical data of the previous frame is used to decide a stride to adjust the compression ratio. The statistical data can be a maximum of compressed data and a quantization table scale referred to rendering a prediction curve that allows the processor to determine the stride. A compression ratio is then determined according to the direction and the stride of adjustment.

Method and circuit system for compressing video signals based on adaptive compression rate

The present disclosure discloses an image flicker detection method that includes the steps outlined below. An image retrieving is performed to retrieve a current image. A current variation ratio between first rows of pixels of the current image and second rows of pixels in a previous image is calculated. When both the current variation ratio and a previous variation ratio are determined to be larger than a ratio threshold, a detected flicker number is incremented. When the detected flicker number is determined to be larger than a flicker number threshold, a flicker condition is determined to occur. When the detected flicker number is determined to be not larger than the flicker number threshold, the current image becomes the previous image and the current variation ratio becomes the previous variation ratio such that a next image becomes the current image to repeat the above steps.

Image retrieving apparatus having image flicker detection mechanism and image flicker detection method of the same

The present disclosure discloses a multi-path image processing apparatus. An image merging circuit is configured to receive image frames that at least one of the image frames has a largest row number, generate redundant pixel row for each of the image frames that has a row number smaller than the largest row number such that the row number of each of the image frames equals to the largest row number, generate redundant pixel columns for each of the image frames having the number thereof determined by a size of a largest operation window, and merge each two of the image frames through the redundant columns thereof to generate a merged image frame. An image processing circuit performs image processing procedure on the merged image frame to generate a processed merged image frame, wherein at least a part of the image processing procedure is operated according to the largest operation window. An image segmentation circuit segments the processed merged image frame to generate processed image frames.

Multi-path image processing apparatus and method

An image white balance processing method is provided. The image white balance processing method includes: calculating color coordinate points; when it is determined that the color coordinate points are in a first given region, calculating a plurality of weighted averages according to a plurality of coordinate components and a plurality of weight values of color coordinate points of a white given image region, and when it is determined that the color coordinate points are in a second given region, calculating a plurality of averages according to a plurality of coordinate components of color coordinate points of a green given image region; calculating an estimated coordinate point; and calculating a plurality of white balance gains according to the number of a plurality of white given image regions and green given image regions, the plurality of weighted averages, and the estimated coordinate point to compensate for the plurality of given image regions.

Image white balance processing method

A saturation adjusting apparatus for processing a pixel, which has three color components each having a value falling within a range defined by upper and lower extreme values, of a RGB color model includes an extreme value controller and a component adjuster. The extreme value controller determines maximum and minimum extreme value thresholds for ensuring that the values of the color components of the pixel after undergoing linear color correction processing based on a correction indicator fall within the range defined by the upper and lower extreme values. The component adjuster includes a decision-making unit for choosing the correction indicator from a group of values which includes the maximum extreme value threshold, the minimum extreme value threshold, and a saturation setting. The component adjuster further includes a color corrector for performing linear color correction processing on the three color components of the pixel using the correction indicator.

Saturation adjusting apparatus and method thereof

A data structure for a flash memory and data reading/writing method thereof are disclosed. A 512 bytes data and a redundant code derived from the data encoded with a 6-bit error correcting code scheme are stored in a first sector and a second sector with sequential address in a block of the flash memory respectively. A logic block address information of this block is divided into two parts that are stored in the first sector and the second sector respectively.

Growing community of inventors

Jiangsu, China

Dong-Yu He