
Progressive wavelet coding of Images (PWC) is a simple and efficient image coding algorithm. It is comparable to the state-of-the-art SPIHT. It is based only on two concepts: (1) data-independent reordering and blocking, and (2) low-complexity independent encoding of each block via adaptive run-length/Rice coding of the bit planes. Therefore PWC allows for progressive image encoding that is scalable both in resolution and bit rate. But its reordering and un-reordering algorithms are very complex and computation speed is limited, so this paper proposes a new reordering and un-reordering algorithm to improve significantly the encoding and decoding speed of PWC, making PWC have wide applications.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
