The present disclosure pertains to an image-processing device and method that make it possible to suppress block noise. A βLUT_input calculator and a clip processor determine βLUT_input, which is a value inputted to an existing-β generator and an expanded-β generator. When the value of βLUT_input qp from the clip processor is 51 or less, the existing-β generator determines β using a LUT conforming to the HVEC standard, and supplies same to a filter process determination unit. When the value of βLUT_input qp from the clip processor is larger than 51, the expanded-β generator determines the expanded β and supplies same to the filter process determination part. This disclosure, for example, can be applied to an image processing device.

Image processing device and method

A method and apparatus for encoding and decoding data that includes generating transformed signals in response to input data. In one embodiment, the transformed signals are generated using a reversible wavelet transform. The present invention also includes a method and apparatus for compressing the transform signals into data representing a losslessly compressed version of the input data. In one embodiment, the present invention decomposes the input data using reversible wavelet transforms.

Compression and decompression system with reversible wavelets and lossy reconstruction

A coding and/or decoding system includes: a code-word table for storing therein a plurality of code words, which are capable of being decoded both in forward and backward directions and which are formed so that delimiters of the code words are capable of being identified by a predetermined weight of the code words, so that the code words correspond to different source symbols; an encoder for selecting code words corresponding to inputted source symbols from the code-word table; and a synchronization interval setting part for preparing coded data every predetermined interval using the code words selected by the encoder and for inserting stuffing codes capable of being decoded in the backward direction. Thus, it is possible to decrease useless bit patterns to enhance the coding efficiency by smaller amounts of calculation and storage, and to decode variable length codes both in the forward and backward directions even if the synchronization interval is set every interval using the stuffing bits.

Moving picture coding and/or decoding systems, and variable-length coding and/or decoding system

A method of losslessly compressing and encoding signals representing image information is claimed. A lossy compressed data file and a residual compressed data file are generated. When the lossy compressed data file and the residual compressed data file are combined, a lossless data file that is substantially identical to the original data file is created.

Apparatus and method for encoding digital image data in a lossless manner

Various embodiments of the invention provide a method, system, and apparatus for transmitting screen display information from a remote server to a client. One embodiment features a video decoder that comprises (i) an input port to receive data that includes a data identifier to distinguish between a first data type and a second data type, (ii) a loss-less decoder, and (iii) a lossy decoder. The loss-less decoder is coupled to the data identifier and receives and decodes data of the first data type from the data identifier. The lossy decoder is coupled to the data identifier and receives and decodes data of the second data type from the data identifier.

Graphic codec for network transmission

The compressed image data ZZ includes code data representing a quantization level coefficient QCx inserted between block data units. DCT coefficients QF(u,v) and a quantization level coefficient QCx, which are decoded form the compressed image data ZZ, are multiplied in the inverse quantization table generator 250 to generate a quantization table QT, and the inverse quantization unit 250 executes inverse quantization with the quantization table QT. Since the quantization level coefficient QCx is inserted between block data units in the compressed image data, the quantization table QT is renewed every time when a new quantization level coefficient QCx is decoded. The compressed image data also includes a special type of data, or null run data, representing a series of pixel blocks having an identical image pattern.

Sekimoto Uichi

Papers

Method and apparatus for compressing and decompressing image data using two dimensional orthogonal transform with improved compression rate