Abstract: A method for controlling a display of a vehicular image by a touch panel is provided. The vehicular image is synthesized by a plurality of sub-images. The method includes the following steps: detecting a first touch event on the touch panel to generate touch position information; determining a control parameter according to the touch position information; and switching a viewing-angle stage of the vehicular image according to the control parameter.

Abstract: 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.

Abstract: 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.

Abstract: A method for controlling a display of a vehicular image by a touch panel is provided. The vehicular image is synthesized by a plurality of sub-images. The method includes the following steps: detecting a first touch event on the touch panel to generate touch position information; determining a control parameter according to the touch position information; and switching a viewing-angle stage of the vehicular image according to the control parameter.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: An image processing apparatus includes a first register, a second register and an adder. The second register reads a number of pixels from a sub-window image in turn. The adder adds the pixels in the second register and stored values in the first register to output a number of adding calculation values. The adding calculation values are returned to the first register and are saved as stored values. In addition, the present invention relates to an image processing method and a human face detection system using the above image processing apparatus.

Abstract: A method and an apparatus thereof for enhancing a digital image. The method includes the steps of: capturing a pixel data block; determining a searching region and a reference window with the pixel data block serving as a center; dividing the searching region into compared windows each having a size equal to a size of the reference window; sequentially comparing the compared windows to the reference window to determine corresponding weighting values according to compared results; multiplying calculated blocks in the compared windows by the corresponding weighting values of the blocks to obtain weighted blocks; accumulating the weighted blocks to obtain a summed pixel data block; accumulating the weighting values to obtain a summed weighting value; and normalizing the summed pixel data block according to the summed weighting value to obtain an image-enhanced pixel data block.