Abstract: Quantization of compressed image file reduces the requirements for memory storage and the transmission bandwidth. However, the cost of quantization is loss of information. On the receiver end when image is reconstructed from lossy de-quantized file using the wavelet reconstruction coefficients, it is impossible to create a perfect image exactly like the original image. This paper records the sensitivity analysis of wavelet coefficients to determine which coefficients contribute to the image reconstruction and in what way and how they should be changed to reconstruct a perfect image. Some interesting findings have been recorded in the conclusion section
In wavelet image compression, all information loss occurs during quantization. Based on the property...
In packet switched networks, packets may get lost during transmission. As these networks are more an...
This thesis concentrates primarily on two problems that concern noise corrupted images and looks to ...
Most of lossy image compression methods like SPIHT or JPEG2000 are based on determining the interval...
In this paper, we introduce a compression algorithm using wavelet transform. The principle of wavele...
Wavelet analysis has engrossed more researchers in the field because of its analyzing ability for fa...
The main aim of wavelet transform is to provide an intuitive and visual representation of digital si...
This work investigates the possibility of improving the compression efficiency of the JPEG Still Ima...
The Discrete Wavelet Transform (DWT) decomposes an image into bands that vary in spatial frequency a...
Currently, the wavelet transform is widely used in the signal processing domain, especially in the i...
A comparative study of different methods of reconstruction of wavelet coefficients is presented. The...
The fairt development of multimedia computing has led to the ibemand of using digital imag...
High-resolution image reconstruction refers to reconstructing high-resolution images from multiple ...
<div>The fast development of computing multimedia has led to the demand of using digital images. The...
This paper analyzes the effect of histogram equalization on the wavelet based compression techniques...
In wavelet image compression, all information loss occurs during quantization. Based on the property...
In packet switched networks, packets may get lost during transmission. As these networks are more an...
This thesis concentrates primarily on two problems that concern noise corrupted images and looks to ...
Most of lossy image compression methods like SPIHT or JPEG2000 are based on determining the interval...
In this paper, we introduce a compression algorithm using wavelet transform. The principle of wavele...
Wavelet analysis has engrossed more researchers in the field because of its analyzing ability for fa...
The main aim of wavelet transform is to provide an intuitive and visual representation of digital si...
This work investigates the possibility of improving the compression efficiency of the JPEG Still Ima...
The Discrete Wavelet Transform (DWT) decomposes an image into bands that vary in spatial frequency a...
Currently, the wavelet transform is widely used in the signal processing domain, especially in the i...
A comparative study of different methods of reconstruction of wavelet coefficients is presented. The...
The fairt development of multimedia computing has led to the ibemand of using digital imag...
High-resolution image reconstruction refers to reconstructing high-resolution images from multiple ...
<div>The fast development of computing multimedia has led to the demand of using digital images. The...
This paper analyzes the effect of histogram equalization on the wavelet based compression techniques...
In wavelet image compression, all information loss occurs during quantization. Based on the property...
In packet switched networks, packets may get lost during transmission. As these networks are more an...
This thesis concentrates primarily on two problems that concern noise corrupted images and looks to ...