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 system for providing image or video to be displayed by a projective display system includes: an encoding subsystem and a packing subsystem. The encoding subsystem is configured to encode at least one image or video of a subject to generate encoded image data. The packing subsystem is coupled to the encoding subsystem, and configured to pack the encoded image data with projection configuration information regarding the projective display system to generate packed image data. The projective display system comprises a projection source device and a projection surface, the projection source device projects the image or video to the projection surface according to the packed image data.
Abstract:
Disclosed is a thermal management method for controlling a temperature of an image/video processing module for an image capturing device or a video recording device. The thermal management method comprises: (a) acquiring at least one device parameter for at least one first device of the image/video processing module; and (b) adjusting at least one operating parameter for at least one second device of the image/video processing module according to the device parameter.
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.