Texas Instruments Corporation

Qualcomm Incorporated

Woo-Shik Kim

Do-Kyoung Kwon

Marta Karczewicz

Minhua Zhou

Joel Sole Rojals

Madhukar Budagavi

Jianle Chen

Rajan Laxman Joshi

Vivienne Sze

Wei Pu

Liwei Guo

Li Feng Zhang

Xin Zhao

Wei-Jung Chien

Xianglin Wang

In Suk Chong

Chao Pang

Chengjie Tu

Jaehong Chon

Jewon Kang

A method for sample adaptive offset (SAO) filtering and SAO parameter signaling in a video encoder is provided that includes determining SAO parameters for largest coding units (LCUs) of a reconstructed picture, wherein the SAO parameters include an indicator of an SAO filter type and a plurality of SAO offsets, applying SAO filtering to the reconstructed picture according to the SAO parameters, and entropy encoding LCU specific SAO information for each LCU of the reconstructed picture in an encoded video bit stream, wherein the entropy encoded LCU specific SAO information for the LCUs is interleaved with entropy encoded data for the LCUs in the encoded video bit stream. Determining SAO parameters may include determining the LCU specific SAO information to be entropy encoded for each LCU according to an SAO prediction protocol.

Sample adaptive offset (SAO) parameter signaling

A method and apparatus for image coding using hierarchical sample adaptive band offset. The method includes decoding a signal of a portion of an image, determining a band offset type and offset of a portion of the image, utilizing the band offset type and offset to determine a sub-band, and reconstructing a pixel value according to the determined offset value.

Method and apparatus for image and video coding using hierarchical sample adaptive band offset

A method and apparatus for sample adaptive offset without sign coding. The method includes selecting an edge offset type for at least a portion of an image, classifying at least one pixel of at least the portion of the image into edge shape category, calculating an offset of the pixel, determining the offset is larger or smaller than a predetermined threshold, changing a sign of the offset based on the threshold determination; and performing entropy coding accounting for the sign of the offset and the value of the offset.

Sample adaptive offset without sign coding

Techniques for signaling of sample adaptive offset (SAO) information that may reduce the coding rate for signaling such information in the compressed bit stream are provided. More specifically, techniques are provided that allow SAO information common to two or more of the color components to be signaled using one or more syntax elements (flags or indicators) representative of the common information. These techniques reduce the need to signal SAO information separately for each color component.

Method and apparatus for sample adaptive offset without sign coding

A method for sample adaptive offset (SAO) filtering in a video encoder is provided that includes estimating SAO parameters for color components of a largest coding unit (LCU) of a picture, wherein estimating SAO parameters includes using at least some non-deblock-filtered reconstructed pixels of the LCU to estimate the SAO parameters, performing SAO filtering on the reconstructed LCU according to the estimated SAO parameters, and entropy encoding SAO information for the LCU in a compressed video bit stream, wherein the SAO information signals the estimated SAO parameters for the LCU.

Method and apparatus for sample adaptive offset parameter estimation for video coding

In general, this disclosure describes techniques for coding video blocks using a color-space conversion process. A video coder, such as a video encoder or a video decoder, may determine a bit-depth of a luma component of the video data and a bit-depth of a chroma component of the video data. In response to the bit-depth of the luma component being different than the bit depth of the chroma component, the video coder may modify one or both of the bit depth of the luma component and the bit depth of the chroma component such that the bit depths are equal. The video coder may further apply the color-space transform process in encoding the video data.

Modifying bit depths in color-space transform coding

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San Diego, CA, United States of America

Woo-Shik Kim