Novatek Microelectronics Corp.

Novatek (shanghai) Co., Ltd.

Jian-De Jiang

Chun Wang

Tsui-Chin Chen

Guang-Zhi Liu

Chun-Wei Chen

Yen-Sung Chen

Heng Yu

Hsiao-En Chang

Yuan-Jia Du

Jian-Hua Liang

Yu-Shu Liu

Bo Zhao

A motion estimation method is provided for generating a motion vector of a to-be-generated frame between two continuous reference frames. The method includes the following steps. A candidate motion vector is obtained according to the position of a to-be-generated block of a to-be-generated frame. Two first reference blocks are obtained from the two reference frames by extending the candidate motion vector from the to-be-generated block to the two reference frames, respectively. Two second reference blocks are obtained from the two reference frames by extending the candidate motion vector from one reference frame to another reference frame. Whether the candidate motion vector is valid is determined according to the positions of the two reference blocks obtained in each obtaining step. The corresponding motion vector of the to-be-generated block is determined according to the valid candidate motion vector.

Multimedia device and motion estimation method thereof

An image processing circuit and an image processing method are provided. The image processing circuit comprises a full search engine and a frame rate conversion (FRC) engine. The full search engine executes a full search to generate a sum of sum of absolute difference (SAD) distribution according to the reference image and the current image. The FRC engine analyzes a scene characteristic from the current image according to SAD distribution. The FRC engine adjusts at least one of the control parameters according to the scene characteristic. The FRC engine generates an interpolated image according to the reference image, the current image and the control parameters.

Image processing circuit and image processing method for generating interpolated image

An image processing method for adjusting the luminance and contrast of an input image comprises the following steps. First, local spatial luminance statistics is performed on the first pixels of the input image to generate a luminance image including a plurality of second pixels. Then, from a preset mapping curve group comprising a plurality of smooth mapping curves, a corresponding smooth mapping curve is selected for each of the second pixels according to an adjusting function. Next, the pixel values of the second pixels are adjusted according to the corresponding smooth mapping curves to generate an adjusted image.

Image processing method for dynamically adjusting luminance and contrast of image

An image processing apparatus and an image fine-tuning method are provided. The image processing apparatus includes a high-pass filter, a block comparator, an image data reconstructor, and a calculator. The high-pass filter receives a first image to generate a filtered image. The block comparator receives an input image and the first image to generate a block comparison result. The image data reconstructor receives the filtered image and the block comparison result to generate image reconstruction data. The calculator receives the input image and the image reconstruction data to generate an output image.

Image processing apparatus and image fine-tuning method thereof

A device and method are provided for two dimension (2D) to three dimension (3D) conversion. A 2D to 3D conversion device receives a 2D image data. The 2D to 3D conversion device assigns position data of a predetermined window. The 2D to 3D conversion device generates a depth map including a depth data of the 2D image data according to the 2D image data and the position data of the predetermined window. The 2D to 3D conversion device converts the 2D image data into a 3D image data according to the depth data of the depth map and the position data of the predetermined window.

Device and method for 2D to 3D conversion

An image processing device includes an image processing unit, an over-driving unit, and an up-sampler. The image processing unit receives a full-resolution 3D input image and outputs a half-resolution 3D image to a memory. The over-driving unit is coupled to the image processing unit and the memory for over-driving a current half-resolution 3D image outputted from the image processing unit according to a previous half-resolution 3D image stored in the memory. The up-sampler is selectively coupled to the over-driving unit for up-sampling an over-driven half-resolution 3D image outputted from the over-driving unit to output a full-resolution 3D output image.

Image processing device

An overdrive device includes a training unit, an analysis unit and a Contrast adjustment unit. The training unit establishes a luminance difference look-up table (LUT) having an Rnumber of luminance differences. Each of the Rnumber of luminance differences represents a luminance difference between a measured display luminance value and a target luminance value of a display device when each of first and second viewing angle images correspond to any value of a grayscale range R. With respect to first and second viewing angle input image data, for pixel data therein corresponding to a same pixel position, the analysis unit looks up the luminance difference LUT to obtain a looked-up luminance difference, and accordingly calculates a luminance difference index. The contrast adjustment unit partially adjusts the grayscale of the second viewing angle image according to the luminance value index to obtain headroom for an overdrive operation.

Overdrive device

A three-dimension (3D) image processing method is disclosed. A plurality of asymmetric filtering is performed on an input depth map to obtain a plurality of asymmetric filtering results. One among the asymmetric filtering results is selected as an output depth map. A two-dimension (2D) image is converted into a 3D image according to the output depth map.

Three-dimension image processing method and a three-dimension image display apparatus applying the same

A multimedia device and a play mode determination method of the same are provided. The multimedia device includes a frame difference calculation unit, a global threshold determination unit and a play mode determination unit. The frame difference calculation unit calculates the frame difference between two continuous frames to obtain a global variation. The global threshold determination unit determines a film mode threshold corresponding to a film mode and a video mode threshold corresponding to a video mode according to a current frame of the two frames and a previous global variation, and selects a global threshold from the film mode threshold and the video mod threshold. The selected threshold is smaller than the film mode threshold. The play mode determination unit compares the global variation with the global threshold, and enables the multimedia device to enter one of the film mode and the video mode according to the comparison result.

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Xi'an, China

Jian-De Jiang