Quanta Computer Incorporated

Wan-Ching Lee

Hsin-Hung Lee

Tung-Lin Hsieh

Yu-Wen Huang

Yu-Hsiang Huang

Yao-Shun Tseng

I-Ming Huang

An image processing apparatus is disclosed. The image processing apparatus comprises a dividing module, a calculating module, a judging module and an adjusting module. The dividing module is used for dividing an image into a plurality of sub-images. The calculating module is used for generating a lightness threshold of the image. The judging module is used for comparing an original average lightness of a target sub-image among the plurality of sub-images with the lightness threshold. The adjusting selectively increases the original average lightness of the target sub-image according to the first judging module.

Image processing apparatus and method for adjusting lightness of image

The invention provides a Gamma conversion system applied on a source of image pixel data. Each image pixel data in the source of image pixel data has an M-bit pixel value with a first Gamma exponent. The Gamma conversion system comprises a storage module, a processing module, and a selecting module. The storage module therein stores I look-up tables. The processing module is respectively coupled to the source of image pixel data and the storage module, and the processing module comprises I converting modules, each of the converting modules corresponds to one look-up table. The selecting module is coupled to the source of image pixel data and the processing module respectively, and generates a selection signal according to the M-bit pixel value. In response to the selection signal, the processing module assigns one of the converting modules to convert the M-bit pixel value into an N-bit pixel value with a second Gamma exponent according to the look-up table corresponding to the assigned converting module.

Gamma conversion system

The invention discloses a method for the transforming of a 2D image into a 3D image. The method comprises the steps of: (a) selecting an object of 2D image; (b) setting a base line in the 2D image; (c) base on the base line, judging whether the object is located on the foreground or background of the 2D image; (d) offering a displacement to the object; (e) moving the object with the displacement to generate a plurality of continuous images; and (f) sequentially outputting each of the continuous images to generate the 3D image. Accordingly, after the user selects an object of 2D image, the method of the invention will automatically transform the 2D image into the 3D image.

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Taipei Shien, Taiwan

Wan-Ching Lee