Abstract:
An image compression method includes at least the following steps: receiving a plurality of pixels of a frame, wherein pixel data of each pixel has a plurality of color channel data corresponding to a plurality of different color channels, respectively; encoding the pixel data of each pixel and generating bit-streams corresponding to the plurality of color channel data of the pixel, wherein the bit-streams corresponding to the plurality of color channel data of the pixel are separated; packing bit-streams of a same color channel data of different pixels into color channel bit-stream segments, wherein each of the bit-stream segments has a same predetermined size; and concatenating color channel bit-stream segments of the different color channels into a final bit-stream. Alternatively, color channel bit-stream segments of the same pixel are concatenated into a concatenated bit-stream portion, and concatenated bit-stream portions of different pixels are concatenated into a final bit-stream.
Abstract:
A method for denoising images by block-matching three-dimensional (BM3D) method is disclosed in the present invention. Embodiments of the present invention are used to improve the quality of captured images. Instead of using the same noise variance to denoise all patches of an image, each patch is processed based on a particular assessed noise variance. The assessed noise variance of one reference patch is determined based on noise variance associated with the patch set or based on content characteristics associated with the patch set. The patch set is obtained by block-matching to find similar patches of the reference patch. Noise reduction in frequency domain is applied to the patch set according to the assessed noise variance of the reference patch. The determining of the assessed noise variance can be performed in spatial domain or in frequency domain.
Abstract:
One image processing method has at least the following steps: receiving an image input in a device, wherein the image input is composed of at least one source image; receiving image selection information; regarding a source image included in the image input, checking the image selection information to determine whether the source image is selected or skipped; and performing an object oriented image processing operation upon each selected source image. Another image processing method has at least the following steps: receiving an image input in a device, wherein the image input is composed of at least one source image; receiving algorithm selection information; and regarding a source image included in the image input, checking the algorithm selection information to determine a selected image processing algorithm from a plurality of different image processing algorithms, and performing an image processing operation upon the source image based on the selected image processing algorithm.
Abstract:
One video coding method includes at least the following steps: utilizing a visual quality evaluation module for evaluating visual quality based on data involved in a coding loop; and referring to at least the evaluated visual quality for performing motion estimation. Another video coding method includes at least the following steps: utilizing a visual quality evaluation module for evaluating visual quality based on data involved in a coding loop; and referring to at least the evaluated visual quality for deciding a target coding parameter associated with motion estimation.
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 video decoding method for decoding a bit stream to a plurality of frames, applied in a video decoding system, includes: determining whether a size of a current picture is equal to that of a next picture according to the bit stream; scaling a corresponding reference frame for the next picture to generate a scaled frame when the size of the current picture is not equal to that of the next picture; and storing the scaled frame in a first buffer of a storage unit, wherein at least a portion of a first frame originally stored in the first buffer is used; wherein when it is determined that the size of the current picture is not equal to that of the next picture, the next picture is encoded in the bit stream in a mode that the scaled corresponding reference frame is required for decoding the next picture.
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 data processing apparatus at a transmitter end has an output interface and a display controller. The output interface packs a compressed display data into an output bitstream, and outputs the output bitstream via a display interface. The display controller refers to a compression characteristic of the compressed display data to configure a transmission setting of the output interface over the display interface (e.g., number of data lines, operating frequency of each data line, and/or behavior in the blanking period). A data processing apparatus at a receiver end has an input interface and a controller. The input interface receives an input bitstream via a display interface, and un-packs the input bitstream into a compressed display data that is transmitted over the display interface. The controller configures a reception setting of the input interface over the display interface in response to a compression characteristic of the compressed display data.
Abstract:
A method and apparatus for applying DF processing and SAO processing to reconstructed video data are disclosed. The DF processing is applied to a current access element of reconstructed video data to generate DF output data and the deblocking status is determined while applying the DF processing. Status-dependent SAO processing is applied to one or more pixels of the DF output data according to the deblocking status. The status-dependent SAO processing comprises SAO processing, partial SAO processing, and no SAO processing. The SAO starting time for SAO processing is between the DF-output starting time and ending time for the current block. The DF starting time of a next block can be earlier than the SAO ending time of the current block by a period oft, where t is smaller than time difference between the DF-output starting time and the DF starting time of the next block.
Abstract:
An exemplary decoding method of an input video bitstream including a first bitstream and a second bitstream includes: decoding a first picture in the first bitstream; after a required decoded data derived from decoding the first picture is ready for a first decoding operation of a second picture in the first bitstream, performing the first decoding operation; and after a required decoded data derived from decoding the first picture is ready for a second decoding operation of a picture in the second bitstream, performing the second decoding operation, wherein a time period of decoding the second picture in the first bitstream and a time period of decoding the picture in the second bitstream are overlapped in time.