Avisonic Technology Corporation

Chi-Chang Yu

Ming-Yang Wu

Brian Sung

Homer H Chen

Meng-Chun Lin

An image processing apparatus is provided. The image processing apparatus includes a local brightness adjustment circuit and an image enhancement circuit. The local brightness adjustment circuit is arranged to obtain a local brightness gain relation between an input image before a local brightness adjustment and the input image after the local brightness adjustment. The image enhancement circuit is coupled to the local brightness adjustment circuit, and is arranged to perform at least one of a noise reduction and an edge enhancement upon an image to be processed according to the local brightness gain relation to generate an output image.

Image processing method and apparatus using local brightness gain to enhance image quality

The present invention provides an image correction method and a related image correction system which can correct images captured via a fisheye lens or a ultra-wide angle lens camera so as to alleviate geometrical distortion in the images, and geometrically adjust the images according to user's requirements. Wherein, the present invention further enhances the processing performance of image correction computation by a memory allocation technique.

Image correction method and related image correction system thereof

A dynamic image processing method includes: providing a plurality of first images; synthesizing the first images to generate a second image; selecting a plurality of calibration points on the second image; performing a geometric transformation upon the first images; performing the geometric transformation upon the calibration points to generate a plurality of transformed calibration points; and generating at least one image characteristic boundary according to the transformed calibration points.

Dynamic image processing method and system for processing vehicular image

A fisheye correction with perspective distortion reduction method used for saving memory space and reducing perspective distortion includes a coordinate transformation function, a fisheye distorted image and a fisheye corrected image, the fisheye corrected image includes a plurality of pixels, for each pixel of the plurality of pixels, orderly calculating a coordinate value in the fisheye distorted image, and according to the coordinate value, calculating a pixel value of the fisheye corrected image via an interpolation method, wherein the coordinate transformation function includes a fisheye correction coordinate transformation, a perspective distortion reduction coordinate transformation and an image crop and scale coordinate transformation.

Fisheye correction with perspective distortion reduction method and related image processor

An image processing method for generating a vehicular image includes the following steps: providing a first image, wherein the first image has a first specific region, and pixel data of each pixel in the first specific region is converted to a predetermined value; providing a second image, and overlapping the first image and the second image to form an overlapping region; comparing the predetermined value with pixel data of each pixel in the first image overlapped on the second image to generate a comparison result; and determining whether pixel data of each pixel in the overlapping region is pixel data of the first image or pixel data of the second image according to the comparison result, and accordingly generating the vehicular image.

Image processing method and image processing apparatus for generating vehicular image

The present invention relates to a method for image enhancement. The method includes the steps of: replacing a value of a pixel of a digital image with a maximum one of values of red, green and blue sub-pixels of the pixel; selecting a specific pixel from pixels of the digital image; selecting some of the pixels surrounding the specific pixel to constitute a specific block; calculating an average of values of the pixels of the specific block; providing multiple curve functions; obtaining a corresponding one of the curve functions according to the average, and substituting the value of the pixel of the image into the curve functions to obtain new output brightness values.

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Keelung, Taiwan

Chi-Chang Yu