ASPEED Technology Inc.

An image enhancement apparatus is disclosed, comprising: N line buffers, local window statistics (LWS) circuitry, tone mapping (TM) circuitry, edge enhancement (EE) circuitry and adaptive processing (AP) circuitry. The N line buffers receive N rows of a current image and outputs N 2 pixels according to a N×N local window. The LWS circuitry performs lowpass filtering operation over values of the N 2 pixels to generate a filtered value μ, and calculates a difference value Δ between μ and a value of a center pixel of the N 2 pixels. The TM circuitry produces a mapped value Y map according to a luma component μ Y of μ and coordinates of the center pixel. The EE circuitry performs edge-enhancement filtering over the luma components of the N 2 pixels to produce a luma difference δ EE . The AP circuitry updates the luma component of the center pixel according to four outputs (μ Y , Δ Y , Y map , δ EE ).

An electronic system and a security authority delegation method thereof are provided. The electronic system includes a first host device, a second host device, a first security device, and a second security device. The first security device is connected to the first host device. The second security device is connected to the second host device and the first security device. The first security device performs an attestation process on the second security device. If the second security device passes the attestation process, the first security device enables the second security device to verify executable images of the second host device. If the second security device does not pass the attestation process, the first security device disables a function of the second security device, and the function includes verifying the executable image of the second host device.

The invention provides a communication method, including: generating a plurality of frames sequentially by a first device, determining a tag of each of the frames according to a rule, and sending the frames sequentially to a second device; establishing a valid receiving tag by the second device; calculating a difference between the tag of a first frame and the valid receiving tag when the second device receives the first frame; and determining to perform at least one of a plurality of operations according to the difference by the second device, wherein the operations include sending a reply frame to the first device, updating the valid receiving tag, and sending a resend frame to the first device.

A System on a Chip (SoC), a test device for testing the SoC, and a test method for testing the SoC are provided. The SoC includes a function register, a one-time programmable (OTP) memory, and a processor. The function register includes functional bits. The SoC performs a test operation based on data of at least one of the functional bits. The OTP memory includes setting bits and operating bits. When a bit value of a first setting bit among the setting bits is a first value, the SoC writes data coming from a first operating bit among the operating bits to a first functional bit among the functional bits. When the bit value of the first setting bit is the second value, the SoC writes a first bit value of the test data to the first functional bit.

A texture prefetching apparatus in a graphics processing system having a texture memory is disclosed, comprising a first FIFO memory, a second FIFO memory, a main rasterizer, an auxiliary rasterizer and a cache data memory. The cache data memory is coupled between the first FIFO memory and the texture memory. The main rasterizer converts destination coordinates of a first pixel in a primitive into a cache entry and a tag for a first integer texel according to texture coordinates and destination coordinates of multiple vertices of the primitive. The auxiliary rasterizer coupled to the second FIFO memory converts destination coordinates of N second pixels in the primitive into multiple cache entries, multiple tags and multiple memory addresses for multiple second integer texels according to the texture coordinates and the destination coordinates of the multiple vertices, where N is a multiple of 4.

An event reporting method, a security management circuit, and a management system are provided. The management system includes first, second, and third security management circuits. The first security management circuit and the second security management are respectively located at a first layer and a second layer of a hierarchy structure. The third security management circuit is located at another layer of the hierarchy structure different from the first layer and the second layer. The first, second, and third security management circuits are respectively configured to determine an event occurring on a host connected to these security management circuits. A dedicated line is communicatively connected between the first and third security management circuits. According to a type of the event determined by the third security management circuit, the third security management circuit reports the event through the dedicated line. Accordingly, a reporting efficiency and system security are improved.

A data security verification method and an electronic apparatus are provided. In the data security verification method, when the electronic apparatus is powered on, a verification circuit verifies integrity of an executable image in a storage device. If verification fails, the verification circuit stops a host processor from executing the executable image. If the verification is successful, the verification circuit releases a host reset, and a processor reads and executes the executable image. When the processor reads the executable image, the verification circuit re-verifies the executable image, and the processor executes the executable image according to a verification result.

A method for adjusting exposure parameters of images to be spliced and an image analyzing device are provided. The method includes: obtaining N images to be spliced into a panoramic image; obtaining a first brightness value of a first overlapping area and a second brightness value of a second overlapping area of each of the N images, and accordingly determining a first brightness ratio value and a second brightness ratio value of each of the N images; and determining a brightness ratio difference of each of the N images based on the first brightness ratio value and the second brightness ratio value of each of the N images, and accordingly updating an exposure parameter corresponding to each of the N images.

A video encoding apparatus for Bayer pattern images is disclosed, comprising: a quantizer, a variable-length coder and a predictor. The quantizer is configured to perform quantization over a difference value D between an input pixel and a current predicted pixel to generate a quantized value Δ in a quantization sequence based on a quantization parameter Q and the following equation: Δ=└(|D|+└Q/2┘+1)×A/N┘. The variable-length coder is configured to count a number ZR of consecutive zeros that either precede a following non-zero integer in the quantization sequence or are arranged in the end of the quantization sequence, to encode the number ZR of consecutive zeros into a first codeword by a first codeword set, and to encode the following non-zero integer into a second codeword by a second codeword set to produce an encoded bitstream.

An object detection method, electronic apparatus and gesture detection system are provided. A processor is configured to implement the following steps, including: executing an object detection module to detect an original image, and obtaining a first position information, a second position information and a third position information related to the same human body object from the original image through the object detection module; setting a valid determination range based on at least one of the first position information and the second position information; obtaining a hand position in the original image based on the third position information; in response to the hand position being within the valid determination range, executing a gesture recognition module; and in response to the hand position not being within the valid determination range, not executing the gesture recognition module.