AbstractIn recent years, with the development of deep neural networks, end-to-end optimized image compression has made significant progress and exceeded classic methods in terms rate-distortion performance. However, most learning-based are unlabeled do not consider semantics or content when optimizing model. In fact, human eyes have different sensitivities to content, so also needs be considere...

The rapid growth of geographic information technologies in the field processing and analysis spatial data has led to a significant increase role systems various fields human activity. However, solving complex problems requires use large amounts data, efficient storage on on-board recording media their transmission via communication channels. This leads need create new effective methods compress...

Currently, image transfer and storage require compression. In this article, the hybrid compression algorithm is used for color/black white images. It includes discrete wavelet transformation Walsh that quantization. The transform coefficients are quantized arithmetically encoded. At output, combined data compressed can be stored on any device or transmitted over available network in shortest ti...

Data compression is a common requirement for most of the computerized applications. There are number of data compression algorithms, which are dedicated to compress different data formats. Even for a single data type there are number of different compression algorithms, which use different approaches. This paper examines lossless data compression algorithms and compares their performance. The a...

Image compression is a fast paced and dynamically changing field with many different varieties of compression methods available. Wavelet transform techniques currently provide a promising approach to image compression and concentrate on achieving higher compression ratio without sacrificing the quality of the image. In image compression, the choice of wavelet depends on the image content. The q...

This review paper is based on medical image compression using various image compression techniques. In this paper comparative analysis of different compression techniques and their applications in the rising fields of medical science such as e-health, telemedicine, teleradiology has been carried out. There has been abundant research work carried on medical image compression. Even though, the me...

Our motive of this study is to develop an application of the wavelet packet to PIV image compression processing in order to improve the spatial resolution and reliability furthermore. It was found that the reconstructed PIV image with a lower compression ratio might emphasize particle edges at a relatively high spatial resolution. The reconstructed PIV image with a higher compression ratio may ...