Abstract:
An image processing method includes at least following steps: partitioning a picture into a plurality of picture regions, wherein each picture region comprises at least one pixel group row, each pixel group row comprises at least one pixel group, and the picture regions comprise a first picture region and a second picture region horizontally adjacent to each other; and performing flatness check upon a specific pixel group in a pixel group row of the first picture region through using at least one pixel borrowed from the second picture region.
Abstract:
Method is disclosed for reducing frame buffer, stream buffer, reconstruction buffer, or latency associated with frame buffer compression in an encoder or decoder with multiple slices of an image frame. The image frame is divided into multiple slices vertically, horizontally or both. One core compressor or decompressor can be used to process two or more slices. The encoding and decoding of two or more slices may be performed in parallel. Instead of encoding an entire slice, the encoder compresses only partial data of one slice before encoding another slice. According to one embodiment, each slice is divided into two or more partitions. The encoder is switched to another slice after encoding one partition of one slice. In another embodiment, the encoder is switched to another slice based the information related to the coding status. The decoding order may be same as the encoding order.
Abstract:
An image processing method includes at least the following steps: partitioning a picture into a plurality of slices, wherein each slice row in the picture includes at least one slice; generating a compressed picture by encoding each of the slices; and controlling at least one of start of transmission of encoded data of a slice row and end of the transmission of encoded data of the slice row according to a transmission synchronization event.
Abstract:
An image processing method includes: combining a padding region with a picture, wherein any padding pixel included in the padding region is assigned with a predetermined pixel value; and encoding the picture having the padding region combined therewith. For example, the padding region is directly below a bottom edge of the picture. For another example, all of padding pixels included in the padding region have the same pixel value.
Abstract:
An image encoding method includes at least following steps: receiving a plurality of target pixels within a frame, wherein pixel data of each target pixel has at least one color channel data corresponding to at least one color channel; determining a bit budget of the target pixels; and performing bit-plane scanning coding upon selected pixels according to the bit budget and a scanning order, and accordingly generating encoded pixel data of the selected pixels as encoded data of the target pixels, wherein the selected pixels are derived from the target pixels, and the bit-plane scanning coding extracts partial bits of pixel data of each selected pixel as encoded pixel data of the selected pixel. In addition, a corresponding image decoding method is provided.
Abstract:
An image processing method includes at least following steps: partitioning a picture into a plurality of picture regions, wherein each picture region comprises at least one pixel group row, each pixel group row comprises at least one pixel group, and the picture regions comprise a first picture region and a second picture region horizontally adjacent to each other; and performing flatness check upon a specific pixel group in a pixel group row of the first picture region through using at least one pixel borrowed from the second picture region.
Abstract:
An image compression method has at least the following steps: receiving source pixel data of a plurality of blocks of a frame; when a lossless compression mode is enabled for the frame, bypassing a source quantization operation and applying a lossless compression kernel to source pixel data of each of the blocks; and when a lossy compression mode is enabled for the frame, applying the source quantization operation to the source pixel data of each of the blocks to generate input pixel data of each of the blocks, and applying the lossless compression kernel to the input pixel data of each of the blocks. For example, the source quantization operation employs an adaptive quantization parameter for each of the blocks such that a size of compressed data of the frame generated under the lossy compression mode does not exceed a bit budget.
Abstract:
A method and apparatus for processing transform coefficients for a video coder or encoder is disclosed in the present invention. Embodiments according to the present invention reduce the storage requirement for sign bit hiding (SBH), improve the parallelism of SBH processing or simplify parity checking. Partial quantized transform coefficients (QTCs) of a transform block may be processed before all QTCs of the transform block are received. Zero and non-zero QTCs of a scan block may be processed concurrently and the QTCs of multiple scan blocks in a transform block may also be processed concurrently when computing cost function for SBH compensation. The range for searching for a value-modification QTC may be less than the scan block to be processed. Parity checking on QTCs may be based on least significant bits (LSBs) of all QTCs or all non-zero QTCs of a scan block.
Abstract:
A method and apparatus of image data compression and decompression are disclosed. According to an embodiment of the present invention, the compression method partitions the image data into access units and encodes each access unit into a bitstream according to a target bit budget. Each access unit is encoded using first data compression to generate a first bitstream and the residual data is further encoded using second data compression to generate a second bitstream if the first bitstream is smaller than the target bit budget. In one example, the second data compression comprises bit plane coding applied to bit plane-ordered data, wherein the bit plane-ordered data is generated by scanning from a most significant bit to a least significant bit of the residual data in a bit plane-wise order. The decompression method comprises steps to recover reconstructed data from the first and second bitstreams.
Abstract:
A method and apparatus of data reduction of search range buffer for motion estimation or motion compensation are disclosed. The method and apparatus use local memory to store reference data associated with search region to reduce system bandwidth requirement and use data reduction to reduce required local memory. The data reduction technique is also applied to intermediate data in a video coding system to reduce storage requirement associated with intermediate data. The data reduction technique is further applied to reference frames to reduce storage requirement for coding system incorporating picture enhancement processing to the reconstructed video.