Cvitek Co. Ltd.

Shenzhen Suanhai Technology Co. Ltd.

Jen-Shi Wu

Hsin-Hui Chen

Tsung-Hsien Lin

Wei-Chun Chang

Hsiao-Ming Chang

Hao-Cing Jhou

Chia-Lin Lu

Yuan-Hsiang Kuo

Bang-Sian Liu

Bau-Cheng Shen

Ju-Yu Yu

A computing device for floating-point mathematic operation using look-up table is provided. The computing device includes: a bit arrangement unit used for receiving a floating-point input data and performing a bit arrangement or a format conversion on the floating-point input data to generate multiple index blocks; a first look-up table unit group used for receiving the index blocks and performing look-up operation using the index blocks as index to generate a plurality of look-up table results; and an operation unit used for performing operation on the look-up table results of the first look-up table unit group to generate an operation output.

Computing method and computing device for floating-point mathematic operation using lookup table

An image processing method includes the following steps. Firstly, a block-size value is obtained. Then, a first frame into a plurality of first blocks according to the block-size value is divided. Then, a second frame into a plurality of second blocks according to the block-size value is divided. Then, a noise reduction intensity array is obtained according to a first pixel information of each first block and a second pixel information of each second block. Then, an output frame is obtained according to the noise reduction intensity array, the first frame and the second frame.

Block-based noise reduction intensity determination method and device

The present invention discloses an image processing method. The image processing method includes the following steps: (a), a to-be-processed image is corrected as a first correction image according to a first mapping relationship along a correction direction; (b) the first correction image by an angle is rotated; and (c) the rotated first correction image is corrected as a second correction image according to a second mapping relationship along the same correction direction. In embodiment, given that the to-be-processed image is deformed along two different directions, the to-be-processed image is corrected along the same correction direction, such that correction complexity could be reduced.

Image processing method and image processing device using the same

An encryption and signature device for AI model protection is provided. The encryption and signature device for AI model protection includes a key derivation unit, a model encryption unit, a model password encryption unit, an image generation unit and a signature unit. The key derivation unit is configured to derive a model key according to a model password and a derivation function. The model encryption unit is configured to encrypt an AI model according to the model key to generate an encrypted AI model. The model password encryption unit is configured to encrypt the model password to generate an encrypted model password. The image generation unit is configured to generate an image file according to the encrypted model password and the encrypted AI model. The signature unit is configured to sign the image file according to a private key to obtain a signed image file.

Methods and devices for AI model integrity and secrecy protection

An image processing method includes: (a) receiving a to-be-processed image; (b) obtaining a target brightness of the to-be-processed image; (c) creating a histogram curve of the to-be-processed image; (d) clipping the histogram curve according to a clipping value; (e) obtaining a mapping function of the clipped histogram curve; (f) obtaining a mapped image mapped according to the mapping function; (g) obtaining an average brightness of the mapped image; (h) obtaining a difference between the target brightness and the average brightness; and (i) if the difference is greater than a threshold, adjusting the clipping value and repeating steps (d) to (i) until the difference is less than the threshold. Thus, if the to-be-processed image does not reach the target brightness, the image processing device automatically repeats steps (c) to (i) until the to-be-processed image reaches the target brightness.

Growing community of inventors

Zhubei, Taiwan

Jen-Shi Wu