Altek Corporation

Altek Semiconductor Corp.

Chia-Chun Tseng

Hong-Long Chou

Chia-Yu Wu

Wen-Yan Chang

Che-Lun Chuang

Yun-Chin Li

Shuei-Lin Chen

Yu-Chia Chung

Yun-Chin Lee

Tai-Chang Yang

Yu-Chih Wang

Yi-Hong Tseng

Tsan-Wei Wang

Horng-Horng Lin

An image capture device and a calibration method of phase detection autofocus thereof are provided. A contrast-based autofocus procedure is executed to move a lens to multiple lens positions, and a statistical distribution of focus values is obtained based on the contrast-based autofocus procedure. Whether the phase linear relationship for a phase detection autofocus procedure is calibrated is determined according to the statistical distribution of the focus values. If yes, then a first phase difference detected when the lens is located at one of the lens positions is obtained, and a second phase difference detected when the lens is located at another one of the lens positions is obtained. The phase linear relationship of the phase detection autofocus procedure is calibrated according to the one of the lens positions, the first phase difference, the other one of the lens positions, and the second phase difference.

Image capturing device and calibration method of phase detection autofocus thereof

Method and apparatus for optimizing depth information are provided. One of a left image and a right image is divided into a plurality of segmentations for obtaining a plurality of segmentation maps. A necessary repair depth map is obtained, and the necessary repair depth map is partitioned into a plurality of depth planes according to a plurality of primary depth values and a camera parameter. The primary depth values are recorded in the necessary repair depth map having a plurality of holes. A plurality of optimized depth values are respectively generated for the holes in each of the depth planes by using the segmentation maps, and the optimized depth values are filled into the depth planes to obtain an optimized depth map.

Method and apparatus for optimizing depth information

A method and an apparatus for generating depth information are provided. A main depth map associated with one of a left image and a right image and corresponding to multiple first pixels is obtained. The left image or the right image associated with the main depth map is divided into multiple segments according to pixel information, so as to obtain a segment distribution map including the segments. Multiple invalid depth values which do not match to a reliable condition are removed from the main depth map according to the segment distribution map, so as to generate a necessary repair depth map including multiple holes. Multiple optimized depth values are respectively generated for the holes in the necessary repair depth map according to the segment distribution map, and the optimized depth values are filled into the necessary repair depth map to generate an optimized depth map.

Method and apparatus for generating depth information

An image capturing device and a digital zoom display method are provided. The device includes two lens modules configured to respectively capture a first image and a second image, and their capturing view fields are substantially identical, a preview processing unit configured to generate a third image by down-sampling the first image according to a display unit's resolution, a feature extraction unit, an image zooming and distortion unit and an image fusing unit. The second image is trimmed for generating a fourth image according to the same size of the third image. A pixel offset feature corresponding with the third and fourth images is generated by the feature extraction unit. The image zooming and distortion unit generates a fifth image and a sixth image according to the pixel offset feature and zoom ratio to the image fusing unit to generate a combined image displayed on the display unit.

Image capturing device and digital zoom display method

A method for adjusting focus position and an electronic apparatus are provided. Herein, a depth map is obtained according to a first image and a second image which are captured by a first lens and a second lens, respectively. A plurality of depth values included in the depth map is compared with a depth of field (DOF) table for obtaining a plurality of focus distances. An All-in-Focus (AIF) image is generated according to a plurality of focus images captured by the first lens with the focus distances, respectively. A blur process is executed for a plurality of pixels excluding a focus selected location in the AIF image, so as to obtain an adjusting image.

Method for adjusting focus position and electronic apparatus

The present disclosure illustrates an image adjusting system with multiple lens modules and method thereof. The system is adapted for an image capturing device having a zoom lens module and a prime lens module. When the zoom lens module and the prime lens module captures a first image and a second image, the image adjusting system can select a first reference calibration parameter table from multiple first calibration parameter tables, and search a current focus parameter from a focus parameter lookup table according to a current motor step, and then multiply the second image, the first reference calibration parameter table and the current focus parameter to generate a third image. Therefore, the third image has substantially consistent with the first image.

Image adjusting system with multiple lens modules and method thereof

This invention discloses an image capture device and an image synthesis method thereof. The image capture device comprises an image pickup module and a processing module. The image pickup module scans a plurality of visual angles of a scene in advance to obtain a plurality of temporary images. Each of the temporary images has a scanning focal length value. The processing module analyzes the plurality of temporary image of each of the visual angles to obtain a temporary focal length value. The processing module obtains a weighting focal length value by each temporary focal length value by using a function to control the image pickup module in order to perform a panorama image capturing process according to the weighting focal length value.

Image capture device and image synthesis method thereof

This invention discloses an image pickup device and an image synthesis method thereof The image pickup device comprises an image-pickup module, an image-synthesis module, a database and a processing module. The image-pickup module captures a plurality of temporary images of a scene. The image-synthesis module extracts a part of each temporary image and combines the parts to form a panorama temporary image, and splits the panorama temporary image into a plurality of zone-areas according to at least one threshold value and a panorama luminosity histogram. The database stores a lookup table for recording a plurality of exposure values. The plurality of the exposure values correspond to luminance values of the zone-areas respectively. The processing module obtains the plurality of exposure values corresponding to the luminance values and obtains a weighting-exposure value by an equation, and controls the image-pickup module to capture the panorama image according to the weighting-exposure value.

Image pickup device and image synthesis method thereof

An image processing method and an apparatus using the same are provided. The method includes the following steps: deriving a global motion vector between a first image and a second image and providing the first image, the second image and the global motion vector to a first application process, wherein the first image is the previous image of the second image; deriving a first compensated image and a second compensated image by performing a lens distortion compensation process on the first image and the second image respectively; deriving a compensated global motion vector corresponding to the first compensated image and the second compensated image by transforming and correcting the global motion vector; and providing the first compensated image, the second compensated image, and the compensated global motion vector to a second application process.

Method for image processing and apparatus using the same

The present invention discloses an image pickup device, an image preview system and an image preview method thereof. The image pickup device comprises an image pickup module, an image processing module and a display module. The image pickup module is arranged for capturing a plurality of images. The image processing module is arranged for scaling down pixels of each image to generate a plurality of adjusted images, and combining the plurality of adjusted images to generate a preview image. The display module is arranged for displaying the preview image. Wherein, the image processing module is arranged for rendering a high dynamic range image according to the plurality of images while the plurality of adjusted images is blended.

Apparatus and method for generating high dynamic range image

A method and an apparatus for generating a panorama are provided. In the present method, a plurality of raw images of a scene is captured. A coarse motion estimation is executed on the raw images to obtain a coarse motion estimation result of the scene. In the meantime, the raw images inside a window of interest (WOI) are cropped to obtain a plurality of cropped images, and a fine motion estimation is executed on the cropped images according to the coarse motion estimation result of the scene, so as to obtain a fine motion estimation result of the scene. The raw images are stitched and blended according to the fine motion estimation result, so as to generate the panorama.

Method and apparatus for generating panorama

An automatic capturing method of a panoramic image for a digital camera panoramic image is presented. In the method, a motion vector value of an alignment image selected from a first image captured by the digital camera in a real-time image is continuously tracked, calculated, and accumulated to obtain an accumulated motion vector value. When the accumulated motion vector value reaches a preset threshold value, the digital camera is automatically driven to capture a second image, so as to stitch and blend the first image and the second image into a panoramic image. Through the automatic image capture mode, operations for capturing the panoramic image are simplified.

Automatic capturing method of a panoramic image for a digital camera

A method for adjusting photographing settings of a digital camera through motion detection, for determine to adjust the photographing settings of the digital camera according to vibrations of the digital camera or shaking of a photographed object. The adjusting method includes the following steps. At least two continuous pre-photographed images are captured. A central area and an edge area are set at same positions in the pre-photographed images respectively. Feature points are found in the pre-photographed images. A local motion vector and a camera motion vector are respectively determined according to a relation of the feature points on the central area and the edge area. A subject motion vector is generated according to a difference between the local motion vector and the camera motion vector. Adjustment of the photographing settings of the digital camera is determined according to a maximum value in the subject motion vector and camera motion vector.

Method for adjusting photographing settings of digital camera through motion detection

A method for adjusting a shooting condition of a digital camera through motion detection is applied to determine a shooting parameter of the digital camera. The adjusting method includes the following steps. At least two consecutive images, namely a first pre-capture image and a second pre-capture image, are selected. The first pre-capture image and the second pre-capture image are divided into a plurality of selection blocks. A motion vector of each selection block is calculated. The motion vector of each selection block is used to generate a background dominant motion vector of the camera sloshing and a self-movement vector of the shot object. The background dominant motion vector is subtracted from the self-movement vector of the shot object, so as to obtain a corrected foreground motion vector. According to the size of the corrected foreground motion vector, the corresponding shooting parameter is determined.

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Hsinchu, Taiwan

Chia-Chun Tseng