Ml Technology Ltd.

Ying-Chang Tseng

Chang-Yu Wang

Chia-Liang Hsu

Ching-Hung Liang

Ching-Hsiang Li

Hung-Chieh Shy

A shading correcting method for a real-time image is disclosed and includes following steps: obtaining a real-time image through an image sensor; reading a stored previous image which is time-adjacent to the real-time image; computing an image reference data of the previous image; computing an adjusting parameter in accordance with the image referring data and an equipment reference data of the image sensor; adjusting a gain table based on the adjusting parameter to generate an adjusted gain table, wherein the gain table records multiple compensation values each for compensating each corresponding pixel of the real-time image; correcting the real-time image in accordance with the adjusted gain table to generate an adjusted image; and, outputting the adjusted image.

Shading correcting method and shading correcting device for real-time image

A scaling device of a real-time image and a scaling method are disclosed, the scaling device includes a storing unit, a receiving unit, a determining unit, a computing unit, and an outputting unit, wherein the storing unit stores multiple lookup tables respectively corresponding to different scaling algorithms. The receiving unit receives a real-time image from an image outputting device. The determining unit decides a scaling algorithm in accordance with the content of the real-time image and a required scaling ratio, and reads one of the lookup tables from the storing unit based on the decided scaling algorithm. The computing unit performs a scaling process on the real-time image to generate a processed image in accordance with the lookup table read by the determining unit. The outputting unit outputs the processed image.

Scaling device of real-time image and scaling method for using the same

A correcting method of a real-time image is disclosed and includes: continuously receiving real-time images from an image inputting device; analyzing an image feature in each real-time image; computing a motion vector of each real-time image based on a feature difference between any two time-adjacent real-time images; computing a moving trajectory predicted value of a latest real-time image based on accumulated motion vectors; computing a compensation value of the latest real-time image when determining that a difference between the moving trajectory predicted value and the motion vector of the latest real-time image is within a correction allowable range, and correcting the latest real-time image by the compensation value; and, resetting the image inputting device and outputting a default image when determining that the difference between the moving trajectory and the motion vector of the latest real-time image exceeds the correction allowable range.

Correcting device and correcting method of real-time image

A displaying equipment at least including an image controlling module, a primary system module, and a system controlling module is disclosed. The image controlling module continuously receives an input image from an image sensitive device after activates, and directly outputs the received input image. The system controlling module constantly monitors the primary system module after activates to determine whether the primary system module activates completely. The primary system module runs an operating system after being activated to process the input image and to generate a processed image. After the primary system module activates completely, the image controlling module outputs both the input image and the processed image simultaneously. When the primary system module is abnormal, the image controlling module restores to output the input image only.

Displaying equipment and displaying method capable of quick displaying and system-failure backup mechanism

A calibrating device of calibrating a real-time image through a dithering process including a receiving unit, a storing unit, a displacing module, a computing module, and an outputting unit is disclosed. The receiving unit receives a real-time image from an image sensor and records a time parameter of the image. The storing unit stores a hash table that records multiple hash values used to calibrate the image. The displacing module shifts the multiple hash values in the hash table to generate an adjusted hash table. The computing module obtains a corresponding hash value from the adjusted hash table for each pixel point of the image in accordance with the coordinates of each pixel point, and respectively adds the corresponding hash value to the pixel value of each pixel point of the image to generate a calibrated image. The outputting unit outputs the calibrated image.

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Taipei, Taiwan

Ying-Chang Tseng