Novatek Microelectronics Corp.

Yu-Hsing Chuang

Feng-Ting Pai

Chih-Yuan Yang

Yu-Pin Chang

Jie-Jung Huang

Kai-I Dai

Shih-Hung Huang

An image processing method includes: dividing a frame into a plurality of image regions; analyzing contents of the image regions to obtain respective first regional characteristic values of the image regions; obtaining a global characteristic value according to the first regional characteristic values of the image regions; and controlling at least one of a backlight and a panel according to the first regional characteristic values and/or the global characteristic value.

Image processing method and device

A method for mapping an input grayscale into an output luminance includes selecting a reference grayscale and a curvature according to an input grayscale; and generating an output luminance according to the reference grayscale, the curvature, and the input grayscale.

Method and device for mapping input grayscales into output luminance

A color temperature compensation apparatus includes a compensation table and a controller. The compensation table records a relationship between a plurality of compensation values and each of a plurality of gray-levels, wherein the relationship is established based on a plurality of color temperature compensation curves. The controller is coupled to the compensation table, and generates a plurality of compensation values by referring to the compensation table according to a gray-level of each of a plurality of image data and a reference color temperature. The controller further calculates each of a plurality of compensated image data according to the compensation values, wherein the color temperature compensation curves respectively correspond to a plurality of color temperatures.

Display apparatus and method and color temperature compensation apparatus thereof

A method for mapping an input grayscale into an output luminance includes selecting a first reference grayscale, a first reference luminance, a second reference grayscale and a second reference luminance according to an input grayscale, generating a middle reference grayscale and a middle luminance, replacing a value of the first or second reference grayscale by a value of the middle reference grayscale, and replacing a value of the first or second reference luminance by a value of the middle luminance according to the middle reference grayscale and the input grayscale, and generating an output luminance by computing a linear transformation equation.

An image display apparatus and an image optimization method are provided. The image display apparatus includes an image content analyzer, a luminance compensator, and an image optimization processor The image content analyzer receives image data and ambient luminance and generates a backlight luminance adjustment value according to the image data and the ambient luminance. The luminance compensator generates an image data luminance adjustment value according to the backlight luminance adjustment value and generates first image data by adjusting the luminance of the image data according to the image data luminance adjustment value. The image optimization processor generates a saturation adjustment weight according to the image data luminance adjustment value. According to the saturation adjustment weight, the image optimization processor generates output image data by adjusting the luminance of the first image data.

Image display apparatus and image optimization method thereof

An image processing apparatus for adjusting the luminance of a target pixel of an image is provided. The target pixel includes original pixel data and corresponds to a mask value. The image processing apparatus includes a luminance detection unit, a luminance compensation unit and a mapping unit. The luminance detection unit generates an original luminance value according to the original pixel data. The luminance compensation unit adjusts the original luminance value according to a non-linear function to generate a compensated luminance value. The mapping unit generates adjusted pixel data according to the compensated luminance value. The non-linear function at least includes a first monomial function, which has a base part associated with an inverse value of the original luminance value and an exponent part associated with the mask value.

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Hsinchu, Taiwan

Yu-Hsing Chuang