This paper reports on experiments with a popular zerotree-based image codec (the SPIHT algorithm developed by Said and Pearlman) and its application to the ...

Experiments in Transform-Based Range Image Compression. Richard J. Campbell. Sharp Laboratories of America. Camas, WA 98607 USA rcampbell@sharplabs.com.

This paper reports on experiments with a popular zerotree-based image codec (the SPIHT algorithm developed by Said and Pearlman) and its application to the ...

In this paper, a new wavelet-based dynamic range compression algorithm is proposed to improve the visual quality of digital images captured in the high ...

A method for the lossy compression of multivalued images using transform-based Boolean minimization is described. Blocks in bit-planes of an image are ...

Nov 12, 2021 · Abstract:A Transformer-based Image Compression (TIC) approach is developed which reuses the canonical variational autoencoder (VAE) ...

In the framework of learned image compression, the context model plays a pivotal role in capturing the dependencies among latent representations.

Abstract. Wavelets provide a powerful and remarkably flexible set of tools for handling fundamental problems in science and engineering, such as audio.

Transform based compression algorithms are widely used in the field of compression, because of their de-correlation and other properties, useful in compression.

Experiments and measurements were made to prove that the algorithm can simultaneously compress and despeckle the images based on the optimization of the ...