DeWitt - Google Patents
c12) United States PatentDeWitt
- Document ID
- 11584675638740554587
- Author
- DeWitt T
External Links
- 238000005259 measurement 0 abstract description 200
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/60—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
- H04N19/63—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding using sub-band based transform, e.g. wavelets
- H04N19/635—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding using sub-band based transform, e.g. wavelets characterised by filter definition or implementation details
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
- H04N19/1883—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit relating to sub-band structure, e.g. hierarchical level, directional tree, e.g. low-high [LH], high-low [HL], high-high [HH]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
- H04N19/13—Adaptive entropy coding, e.g. adaptive variable length coding [AVLC] or context adaptive binary arithmetic coding [CABAC]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/60—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
- H04N19/63—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding using sub-band based transform, e.g. wavelets
- H04N19/64—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding using sub-band based transform, e.g. wavelets characterised by ordering of coefficients or of bits for transmission
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
- H04N19/154—Measured or subjectively estimated visual quality after decoding, e.g. measurement of distortion
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/90—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using coding techniques not provided for in groups H04N19/10-H04N19/85, e.g. fractals
- H04N19/94—Vector quantisation
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US7511643B2 (en) | Method and apparatus for distributed compressed sensing | |
| Baron et al. | Distributed compressive sensing | |
| Yuan et al. | Image compression based on compressive sensing: End-to-end comparison with JPEG | |
| Davenport | Random observations on random observations: Sparse signal acquisition and processing | |
| Jacques et al. | CMOS compressed imaging by random convolution | |
| CA2781534A1 (en) | Method and system for compressive color image sampling and reconstruction | |
| CN107622515B (en) | Physical reconstruction method of compressed light field | |
| Rizkallah et al. | Graph-based transforms for predictive light field compression based on super-pixels | |
| Bhattacharya et al. | Synthetic aperture radar raw data encoding using compressed sensing | |
| Wakin | The geometry of low-dimensional signal models | |
| DeWitt | c12) United States Patent | |
| Ashwini et al. | Compressive sensing based simultaneous fusion and compression of multi-focus images using learned dictionary | |
| CN110390699B (en) | Hyperspectral image distributed compression method and system based on compressed sensing | |
| Thirumalai | Distributed compressed representation of correlated image sets | |
| Jiang | Efficient predictive lossless hyperspectral image compression using machine learning | |
| Ravi et al. | Optimized two dimensional wavelet filter from BAT algorithm | |
| Servetto | 9 Distributed Compression of Field | |
| Wang et al. | Onboard low-complexity compression of solar images | |
| Wagner | Graph Spectral Image Processing over Adaptive Triangulations | |
| Duarte | Compressive sensing for signal ensembles | |
| Chao | Compression of signal on graphs with the application to image and video coding | |
| El-Sharkawey et al. | Comparison between (RLE & Huffman and DWT) Algorithms for Data Compression | |
| Lone | Efficient Compression Algorithms for Bandwidth-and Memory-Constrained Cyber-Physical Systems | |
| Chamas | Performance Optimization of Hyperspectral Image Compression Algorithms | |
| Servetto | Q Distributed Compression of Field Snapshots in Sensor Networks |