Apriori Rate Allocation in Wavelet-Based Image Compression
AXMEDIS '06 Proceedings of the Second International Conference on Automated Production of Cross Media Content for Multi-Channel Distribution
SBHP-a low complexity wavelet coder
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04
Universal trellis coded quantization
IEEE Transactions on Image Processing
Image coding using wavelet transform
IEEE Transactions on Image Processing
Hierarchical Dynamic Range Coding of Wavelet Subbands for Fast and Efficient Image Decompression
IEEE Transactions on Image Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
Low-Complexity Multiresolution Image Compression Using Wavelet Lower Trees
IEEE Transactions on Circuits and Systems for Video Technology
| Hi-index | 0.00 |
During the last decade, there has been an increasing interest in the design of very fast wavelet image encoders focused on specific applications like interactive real-time image and video systems, running on power-constrained devices such as digital cameras, mobile phones where coding delay and/or available computing resources (working memory and power processing) are critical for proper operation. In order to reduce complexity, most of these fast wavelet image encoders are non-(SNR)-embedded and as a consequence, precise rate control is not supported. In this work, we propose some simple rate control algorithms for these kind of encoders and we analyze their impact to determine if, despite their inclusion, the global encoder is still competitive with respect to popular embedded encoders like SPIHT and JPEG2000. In this study we focus on the non-embedded LTW encoder, showing that the increase in complexity due to the rate control algorithm inclusion, maintains LTW competitive with respect to SPIHT and JPEG2000 in terms of R/D performance, coding delay and memory consumption.