We present the results of a new compression algorithm, Hierarchical Pixel Averaging (HPA), espcifically designed to compress images. Our results indicate that the compression ratios obtained with HPA are equivalent to those obtained using other standards, like JPEG. Specifically, we introduce the algorithm, its implementation and the several tests done so far on a standard set of images
The rapid growth of digital technology has paved the way for many image processing applications and ...
The paper proposes a method of compressing floating-point images of arbitrary precision. The concept...
This paper addresses the area of image compression as it is applicable to various fields of image pr...
We present the results of a new compression algorithm, Hierarchical Pixel Averaging (HPA), espcifica...
The fully adaptive prediction error coder (FAPEC) is an entropy coder that typically offers better r...
Data compression is the process of reducing the number of bits in a representation of some data. Sin...
Compression of hyperspectral imagery increases the efficiency of image storage and transmission. It ...
In this project we present some of the most relevant image compression methods of the digital era. F...
Medical image compression has received great attention due to its increasing need to reduce the imag...
This dissertation develops several new algorithms to solve existing problems in practical applicatio...
Lossy image compression of medical images is required to store efficiently a huge amount of medical ...
Image compression assumes a fundamental part in image handling field particularly when we need to se...
Image compression is one of the most widely used groups of signal processing schemes in real-time ap...
This paper addresses the area of image compression as it is applicable to various fields of image pr...
In this paper we present new image compression algorithm which coincides with JPEG image c...
The rapid growth of digital technology has paved the way for many image processing applications and ...
The paper proposes a method of compressing floating-point images of arbitrary precision. The concept...
This paper addresses the area of image compression as it is applicable to various fields of image pr...
We present the results of a new compression algorithm, Hierarchical Pixel Averaging (HPA), espcifica...
The fully adaptive prediction error coder (FAPEC) is an entropy coder that typically offers better r...
Data compression is the process of reducing the number of bits in a representation of some data. Sin...
Compression of hyperspectral imagery increases the efficiency of image storage and transmission. It ...
In this project we present some of the most relevant image compression methods of the digital era. F...
Medical image compression has received great attention due to its increasing need to reduce the imag...
This dissertation develops several new algorithms to solve existing problems in practical applicatio...
Lossy image compression of medical images is required to store efficiently a huge amount of medical ...
Image compression assumes a fundamental part in image handling field particularly when we need to se...
Image compression is one of the most widely used groups of signal processing schemes in real-time ap...
This paper addresses the area of image compression as it is applicable to various fields of image pr...
In this paper we present new image compression algorithm which coincides with JPEG image c...
The rapid growth of digital technology has paved the way for many image processing applications and ...
The paper proposes a method of compressing floating-point images of arbitrary precision. The concept...
This paper addresses the area of image compression as it is applicable to various fields of image pr...