Images require substantial storage and transmission resources, thus image compression is advantageous to reduce these requirements. The objective of this paper is to evaluate a set of wavelets for image compression. Image compression using wavelet transforms results in an improved compression ratio. Wavelet transformation is the technique that provides both spatial and frequency domain informat...

This paper analytically formulates both the optimal quantization noise allocation ratio and the coding gain of the two-dimensional morphological Haar wavelet transform. The two-dimensional morphological Haar wavelet transform has been proposed as a nonlinear wavelet transform. It has been anticipated for application to nonlinear transform coding. To utilize a transformation to transform coding,...

This paper proposes Transform Domain Fusion Rule (TDFR) via high pass modulation using Local Magnitude Ratio (LMR) in Fast Discrete Contour let Transform (FDCT) domain. Contour let transform method uses low resolution multispectral image and Cartosat-1 Panchromatic (PAN) of spatial resolution 2.5m is used as high resolution panchromatic image. This both images are up sampled in order to resize ...

The demand for images in medical field has increased drastically over the years. The need for reducing the storage space has resulted in image compression. This paper presents a dual transform for medical image compression algorithm. The experimental results determines how the compression ratio (CR), peak signal to noise ratio (PSNR) and SNR (signal to noise ratio) of different compression algo...

Abstract—In digital watermarking, a watermark is embedded into a cover text in such a way that the resulting watermarked signal is robust to certain distortion caused by either standard data processing in a friendly environment or malicious attacks in an unfriendly environment. This paper presents a digital image watermarking based on two dimensional discrete cosines transform (DCT2), two dimen...

In this paper we compare the performance of several transform coding methods, Discrete Fourier Transform, Discrete Cosine Transform, Wavelets Packet and Karhunen-Loeve Transform, commonly used in image compression systems through experiments. These methods are compared for the effectiveness as measured by rate-distortion ratio and the complexity of computation.

A novel transform space called the ratio spectrum has been developed. The ratio spectrum is formed by plotting the ratio of the power of a low-pass filtered signal to the power of the original unfiltered signal vs. the filter cutoff frequency. The spectrum is necessarily a monotonic function of frequency that is bounded between zero and one. Though we prove that this transform space is mathemat...