Stmicroelectronics Asia Pacific Pte Limited

Stmicroelectronics S.a.

Stmicroelectronics (shenzhen) R&d Co. Ltd.

Haiyun Wang

Lucas Hui

Fritz Lebowsky

Yong Huang

Patricia Wei Yin Chiang

Anna Raffalli

Systems and methods are disclosed for determining the perceptibility of noise in a block of images and/or video. The systems and methods may compute a mask value for the block using a block masking generator. The mask value may indicate the perceptibility of noise in the block. The mask value may be computed using a normalized activity value and/or a texture value for the block. The normalized activity value may indicate the relative activity in the block as compared to the activity in the image and/or video. The texture value may indicate the strength and/or number of edges in the block.

Perceptual block masking estimation system

The appearance of image details can be preserved and/or enhanced by applying contrast adaptive gain to the high spatial frequency component of the luminance information. The image details in bright and/or dark regions can be further boosted by applying a local mean adaptive gain. The contrast transfer mapping curve for luminance contrast enhancement can be re-scaled to account for the applied gain. The re-scaling may be performed from frame to frame of displayed video. The re-scaling may be temporally controlled for subsequent frames to make the re-scaling change gradually to prevent flickering.

Image details preservation and enhancement

A method and apparatus are disclosed for identifying and removing banding artifacts (i.e., false contours) resulting from insufficient bit depth caused by digital image quantization, conversion, and/or compression. This method includes: explicitly identifying texture block and flat block; de-termination of filter window sizes with the consideration of handling transitions between texture block and flat block; de-banding filtering with edge protection; and noise shaping according to de-banding filter result.

General banding and codec banding artifact removal

Provided are a digital video rescaling system, a method of rescaling video images, and a chip comprising a computer executable medium embedded therein computer executable instructions for rescaling video images.

System and process for image rescaling using adaptive interpolation kernel with sharpness and overshoot control

A video image processing system is described that generates the interpolated video images with sharp and jaggedness-free edges. A method of video image processing is also described that interpolates video images to generate the video images with sharp and jaggedness-free edges. The video image processing system receives and makes input image data available for further processing; analyzes the local features of the input image data; filters the input image data before performing interpolation process; modifies the phase value adaptive to the local edge distance; rescales the input image data in horizontal interpolation using the modified phase value; and rescales the horizontally interpolated image data in vertical interpolation using modified phase value.

System and process for image rescaling with edge adaptive phase control in interpolation process

A device processes an initial digital image with at least one contour zone. The device may have a magnifier able to magnify the initial image into a magnified digital image. The magnifier may have a detector able to detect the contour zones of the initial digital image, a determinater able to determine the size, in terms of number of pixels, of each contour zone, and a second magnifier able to magnify each contour zone using of a software tool, chosen as a function of the size of each contour zone, from among a set of magnifying software tools.

Growing community of inventors

Singapore, Singapore

Haiyun Wang