Realtek Semiconductor Inc.

Shang-Yen Lin

Yi-Ting Bao

Chun-Hsing Hsieh

Chia-Wei Yu

Yen-Lin Chen

Chia-wei Yu

Jun-Yu Yang

Hao-Ran Wang

A super resolution (SR) image generation circuit includes an image scale-up circuit, a stable SR processing circuit, a generative adversarial network (GAN) processing circuit, and a configurable basic block pool circuit. The image scale-up circuit is arranged to receive and process an input image to generate a scaled-up image. The stable SR processing circuit is arranged to receive a feature map of the input image to generate a stable delta value. The GAN processing circuit is arranged to receive the feature map to generate a GAN delta value. The configurable basic block pool circuit is arranged to dynamically configure a plurality of basic blocks according to a depth requirement of the input image, to generate a configuration result. The SR image generation circuit generates an SR image according to the scaled-up image, the stable delta value, and the GAN delta value.

Super resolution image generation circuit

A system for image scaling and enhancement is provided. The system includes a scaling processing unit, a deep-learning residue network unit and a combination unit. The filter scaling processing unit is configured to upscale a low-resolution image to output a high-resolution image. The deep-learning residue network unit is operated based on a deep-learning result, and configured to output a high-resolution residue image corresponding to the low-resolution image. The combination unit is configured to adjust the high-resolution residue image according to a weighting factor and combine an adjusted high-resolution residue image and the high-resolution image, in order to output an enhanced image, wherein the weighting factor is different from a reference weighting factor being used in a deep-learning procedure for training the deep-learning residue network unit.

Method and system for image scaling and enhancement

An image processing apparatus includes a gradient calculation unit, a direction determining unit, a directional interpolation unit, and a blender unit. The gradient calculation unit processes an input image to generate gradient magnitudes and gradient angles associated with input pixels of the input image. The direction determining unit generates interpolation angles and directional confidence values according to the gradient magnitudes and gradient angles. The directional interpolation unit performs directional interpolation on the input image according to the interpolation angles, so as to generate a first image with an image resolution different from the input image. The blender receives the first image and a second image generated from interpolating the input image, and blends the first image and the second image according to the directional confidence values to generate an output image.

Image processing apparatus and method

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Hsinchu, Taiwan

Shang-Yen Lin