Abstract: An optical element driving mechanism is provided and includes a fixed assembly, a movable assembly, a driving assembly and a stopping assembly. The fixed assembly has a main axis. The movable assembly is configured to connect an optical element, and the movable assembly is movable relative to the fixed assembly. The driving assembly is configured to drive the movable assembly to move relative to the fixed assembly. The stopping assembly is configured to limit the movement of the movable assembly relative to the fixed assembly within a range of motion.

Abstract: An exemplary gamma curve compensating method is used in a displaying process of a display system for inserting a plurality of grey-scale images to adjust the displaying quality of the display system. A grey-scale luminance of each grey-scale image is one of the grey-scales. The gamma curve compensating method includes: providing a plurality of look-up tables (LUTs) according to the different grey-scales; selecting a specific grey-scale of the different grey-scales as a grey-scale luminance of one of the grey-scale images and accordingly selecting a specific LUT of the LUTs corresponding to the specific grey-scale; and performing a gamma-curve compensating based on the specific LUT to keep the gamma curve of the display system invariable in the displaying process. A gamma curve compensating circuit and a display system for performing the gamma curve compensating method are also provided in the present invention.

Abstract: An exemplary gamma curve compensating method is used in a displaying process of a display system for inserting a plurality of grey-scale images to adjust the displaying quality of the display system. A grey-scale luminance of each grey-scale image is one of the grey-scales. The gamma curve compensating method includes: providing a plurality of look-up tables (LUTs) according to the different grey-scales; selecting a specific grey-scale of the different grey-scales as a grey-scale luminance of one of the grey-scale images and accordingly selecting a specific LUT of the LUTs corresponding to the specific grey-scale; and performing a gamma-curve compensating based on the specific LUT to keep the gamma curve of the display system invariable in the displaying process. A gamma curve compensating circuit and a display system for performing the gamma curve compensating method are also provided in the present invention.

Abstract: A display apparatus comprises a display panel, a gate driving circuit, and a pulse generation circuit. The display panel displays an image. The gate driving circuit drives the display panel according to a pulse signal generated by the pulse generation circuit. The pulse generation circuit comprises a histogram analysis element and a gate pulse modulator. The histogram analysis element calculates a gray level ratio of the image, and compares the gray level ratio with at least one threshold value to generate at least one control signal. The operative time of the pulse signal is determined in response to the control signal.

Abstract: An image-capturing device and method for removing strangers from an image are described. First, a first image is input. Then, a control module determines if an unwanted object processing step is needed, and obtains a result. If the result is no, the first image is directly sent to an output module. If the result is yes, an image-identifying module begins to identify the target-image and the unwanted object in the first image, and then, an unwanted object processing module starts the step to process unwanted images. The unwanted object processing step can remove the unwanted object from an image and fill the left lacuna region. Afterwards, a second image is produced and sent to the output module.

Abstract: An image-capturing device and method for removing strangers from an image are described. First, a first image is input. Then, a control module determines if an unwanted object processing step is needed, and obtains a result. If the result is no, the first image is directly sent to an output module. If the result is yes, an image-identifying module begins to identify the target-image and the unwanted object in the first image, and then, an unwanted object processing module starts the step to process unwanted images. The unwanted object processing step can remove the unwanted object from an image and fill the left lacuna region. Afterwards, a second image is produced and sent to the output module.