Abstract: A head-mounted display device includes a wearable device, a display module, a fixing rack and a connecting rod module. The wearable device is used to be placed on a human head. The display module is used to cover human eyes. The fixing rack is fixedly connected to the wearable device. The connecting rod module includes a support arm and a sliding member. The support arm is pivotally connected to the fixing rack. The sliding member is fixedly connected to the display module, and slidably engaged with the support arm and the fixing rack.

Abstract: A virtual reality support device includes a hanging main body, a circuit board module and a battery module. The hanging main body has an internal space. A receiving space is defined by an outline of the hanging main body, and the receiving space allows the hanging main body to be hung onto a human body. The circuit board module is received within the internal space, and the circuit board module is provided with an electric connecting port for electrically connecting to a display device. The battery module is received within the internal space, and electrically connected to the circuit board module.

Abstract: A virtual reality support device includes a hanging main body, a circuit board module and a battery module. The hanging main body has an internal space. A receiving space is defined by an outline of the hanging main body, and the receiving space allows the hanging main body to be hung onto a human body. The circuit board module is received within the internal space, and the circuit board module is provided with an electric connecting port for electrically connecting to a display device. The battery module is received within the internal space, and electrically connected to the circuit board module.

Abstract: An image processing method for a portable electronic apparatus having a processing unit is provided. The image processing method includes steps of acquiring an image, executing an optical center analysis procedure for the image by the processing unit to determine an optical center, and executing an image geometric correction procedure according to the optical center and visual angle information by the processing unit to generate a corrected image.

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 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.

Abstract: 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.

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: 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.

Abstract: 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.

Abstract: 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.

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: 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.

Abstract: A device for converting display screen into touch panel screen includes a projection screen; an image projection unit for projecting an image on the projection screen; a light pointer for emitting a light spot signal of a specific wavelength on the projection screen; an image detecting unit, which includes a fisheye lens for receiving the image on the projection screen to generate a fisheye distorted image; and an optical filter for filtering out the optical energy except the light spot signal of the specific wavelength; an image processing unit, coupled to the image detecting unit, for calculating a first position of the light spot on the projection screen according to the fisheye distorted image; and a message transmitting unit, coupled to the image processing unit, for outputting a touch panel signal according to the calculating result of the image processing unit.

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.