Wavelet Packet Basis Selection Research Articles

Adaptive wavelet packet basis selection for zerotree image coding

In this paper, we explore the possibility of wedding the adaptive wavelet packet transform with zerotree quantisation. We subject the input image to an adaptive wavelet packet decomposition, to get a full wavelet packet tree. We present a general zerotree structure for an arbitrary wavelet packet geometry in an image coding framework. Set Partitioning in Hierarchical Trees (SPIHT) and Zerotree Quantisation - Wavelet (ZQ-WV) coder are the other encoding methods. The limitations we have in these coders are that they have low performance in terms of Peak Signal-to-Noise Ratio (PSNR) and low visual quality at low bit rates.

Adaptive wavelet packet basis selection for zerotree image coding

In this paper, we explore the possibility of wedding the adaptive wavelet packet transform with zerotree quantisation. We subject the input image to an adaptive wavelet packet decomposition, to get a full wavelet packet tree. We present a general zerotree structure for an arbitrary wavelet packet geometry in an image coding framework. Set Partitioning in Hierarchical Trees (SPIHT) and Zerotree Quantisation - Wavelet (ZQ-WV) coder are the other encoding methods. The limitations we have in these coders are that they have low performance in terms of Peak Signal-to-Noise Ratio (PSNR) and low visual quality at low bit rates.

Efficient and Rate-Distortion Optimal Wavelet Packet Basis Selection in JPEG2000

This paper discusses optimal wavelet packet basis selection within JPEG2000. Algorithms for rate-distortion optimal wavelet packet basis selection in JPEG2000 are presented and compared to more efficient wavelet packet basis selection schemes. Both isotropic and anisotropic wavelet packet bases are considered. For the first time, computationally efficient heuristics are compared to the best bases in the standardized coding framework of JPEG2000. For the first time, the maximum performance gains of custom wavelet packets in JPEG2000 can be assessed. The algorithms are evaluated on a wide range of highly textured image data.

Adaptive wavelet packet basis selection for zerotree image coding

Image coding methods based on adaptive wavelet transforms and those employing zerotree quantization have been shown to be successful. We present a general zerotree structure for an arbitrary wavelet packet geometry in an image coding framework. A fast basis selection algorithm is developed; it uses a Markov chain based cost estimate of encoding the image using this structure. As a result, our adaptive wavelet zerotree image coder has a relatively low computational complexity, performs comparably to state-of-the-art image coders, and is capable of progressively encoding images.

Wavelet packet compression for volume holographic image recognition

An optical image recognition system based on the mechanism of crystal volume holography and wavelet packet compression method is proposed and constructed. Volume holographic associative storage in a photo-refractive crystal has some special properties, which can provide a suitable mechanism to develop an optical correlation system for image recognition. The method of wavelet packet is introduced in this optical system to reduce the number of images stored in the crystal. Through best wavelet packet basis selection, a set of best eigenimages, which will be stored in the crystal as the reference images for recognition, are extracted from a large number of training images. Correlation output between these eigenimages and input ones can be applied for classification and recognition according to the different light intensities of angularly separated beams. Experimental results showed this scheme is practical and can significantly compress the data stored in the crystal while the accurate rate of recognition is still high.