Abstract: A vehicle navigation system includes a GPS signal processor, an image processing module, a memory, a microprocessor, a navigation adjusting module, and a display module. The GPS signal processor receives GPS signals and obtains an unadjusted navigation position according to the GPS signals. The image processing module captures pictures of surrounding areas and acquires a reference position according to the pictures. The microprocessor calculates an offset between the reference position and the unadjusted navigation position and compares the offset with a predetermined offset. The navigation adjusting module adjusts the unadjusted navigation position according to the reference position and the offset comparison and displays a result on the display module.

Abstract: A motion detection method and an apparatus applied to a liquid crystal display device, are such that the method utilizes the steps of storing a first frame image in a storage unit at a first time, receiving the first frame image and a second frame image which is received at a second time, calculating a difference value of each pixel between the first frame image and the second frame image, and determining an adjustment value and a variance between the first frame image and the second frame image according to the result of the difference value of each pixel between the first frame image and the second frame image.

Abstract: Motion blur associated with hold-type display devices may be reduced by eye tracking compensation. Eye tracking compensation may depend on the magnitude and direction of a motion vector, which may be used to generate a human-vision image compensation signal. An original input image signal and the human-vision image compensation signal may be used to generate and output a compensated image signal. As a result, motion blur arising from eye tracking characteristics is reduced.

Abstract: A method for adjusting the gray level distribution of an image displayed on a liquid crystal display includes the steps of determining a first relatively large gray level, a first maximum gray level, and a gain based on a gray level distribution of an image, and adjusting gray levels of pixels of the image using the gain in order to enhance image contrast and thereby improve quality of the image.