Altek Corporation

Altek Semiconductor Corp.

Yu-Chen Huang

Hong-Long Chou

Wen-Yan Chang

Yin-Pin Chang

Ming-Jiun Liaw

Chung-Ta Wu

Chih-Yuan Yang

Che-Hung Lin

Chung-Fang Chien

Chung-Chia Kang

The present disclosure illustrates an auto-focus system using multiple lenses and method thereof, the system is characterized in using multiple lenses and combining multiple focus approaches to improve focus speed and precision. In particular, the system moves multiple lenses simultaneously to perform focusing for reducing focus time efficiently.

Auto-focus system using multiple lenses and method thereof

The present disclosure illustrates an auto-focus system using multiple lenses and method thereof. The system is characterized in using multiple lenses and combining a focus depth based approach and a contrast value based approach to improve focus speed and precision. In particular, the system can avoid the impairment caused by the repeat pattern in the focus depth based approach.

A processing method for image interpolation is provided. In the method, a contour containing a destination pixel and a plurality of contour pixels is produced and detected by using an edge detection method for a selected area in an original image. Next, two extreme points are identified from the contour pixels by judging the changing trend of brightness value of the contour pixels on the contour. Then using the changing trend and two extreme points determines whether the destination pixel is located at a transition area or a non-transition area. If the destination pixel is located at the non-transition area, an interpolation adjust value is calculated according to the brightness values of the two extreme points and the brightness value of the destination pixel. An interpolation result of the destination pixel is obtained by performing the interpolation on the selected area according to the interpolation adjust value.

Processing method for image interpolation

A method of correcting a false-color pixel in a digital image is used to correct a false-color pixel generated after being processed by a color correction matrix (CCM). The method includes the following steps. Obtaining a raw image, for being processed by the CCM operation to generate a processed image; comparing pixels of the raw image with that of the processed image according to a color difference ratio, to find out a false-color pixel in the pixels of the processed image; then, performing a color correction on the false-color pixel at the corresponding position of the raw image and the processed image. The false-color pixel is corrected according to the pixel color at the corresponding position of the raw image.

Method of correcting false-color pixel in digital image

A digital image composition method is adapted to eliminate a ghost image produced by a digital image-capturing apparatus due to handshakes in shooting. The method includes the steps. In a pre-shooting process, a base image and a comparison image are respectively captured. A base pixel is selected from the base image, and a core window is set with the base pixel at the center. A comparison pixel is selected from the comparison image, and a search window is set with the comparison pixel at the center. Each area of the search window is compared through the core window, and an absolute error sum value between the base image and the comparison image is calculated. It is determined how to change the brightness of the base pixel according to the normalized region difference value. The above steps are repeated to adjust each pixel in the base image.

Digital image composition method

A tone adjustment method for a digital image and an electronic apparatus using the same are presented. A digital image is loaded. A detail image layer and a primary image layer are generated according to the digital image. A tone mapping procedure is performed on the primary image layer, for generating a tone mapping layer. A detail gain lookup table is loaded and then a corresponding gain is looked up according to each pixel value in the primary image layer, for generating a detail gain adjustment layer. A detail gain control procedure is performed and then a detail gain adjustment is performed on the detail gain adjustment layer and the detail image layer, for generating a gain correction layer. The gain correction layer and the tone mapping layer are combined, and then a combined layer is output, thereby completing the tone adjustment for the digital image.

Tone adjustment method for digital image and electronic apparatus using the same

An apparatus and a method of recognizing image feature pixels is related to the recognizing method including receiving an image having a plurality of pixels; subsequent filtering the pixels at least once by detecting the edge pixels of objects in the received image based on pixel values of the pixels, so as to obtain a plurality of candidate pixels; and performing multiple difference of Gaussian (DOG) blurring operations on the candidate pixels to find the candidate pixels having a relative extreme value as a plurality of feature pixels. Therefore, the processing time of recognizing image feature pixels may be reduced.

Apparatus and method of recognizing image feature pixel point

A method of reducing image noise is provided. In the method, during the process of reducing image noise by a bilateral filter, the image noise filtering intensity of a domain filter in the bilateral filter is adjusted according to whether a regional area of the image has a frame boundary, and the image noise filtering intensity of a range filter in the bilateral filter is adjusted through the intensity of a regional area, so as to improve the image noise reduction effect of the bilateral filter.

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Hsinchu County, Taiwan

Yu-Chen Huang