In this paper, we propose a hybrid IBTC-DWT encoding a digital image. The method combines the simple computation and edge preservation prosperities of interpolative block truncation coding(IBTC) and high compression ratio of discrete wavelet transform(DWT), implemented with significantly lower coding delay than DWT alone, and to achieve a reduced bit rate is also proposed and investigated. In t...

The computation complexity dominates Continuous Wavelet Transform (CWT) and the low frequency resolution limit the Discrete Wavelet Transform (DWT). The degradation in frequency resolution in Discrete Wavelet Transform (DWT) is due to the fact, that, DWT decomposes only the approximation coefficients at each level. This detail is not enough to analyse the signal like knock in the engine. The ac...

Non-stationary signal processing applications use standard nonredundant DWT (Discrete Wavelet Transform) which is very powerful tool. But it suffers from shift sensitivity, absence of phase information, and poor directionality. To remove out these limitations, many researchers developed extensions to the standard DWT such as WP (Wavelet Packet Transform), and SWT (Stationary Wavelet Transform)....

This paper presents two architectures for 2-D discrete wavelet transform (DWT) and inverse DWT (IDWT). The first consists of transform module, RAM module and address sequencer. The transform module, which takes uniform and regular structure with local communication, offers many advantages, e.g. simple control flow, full hardware-utilization and low-power. The second architecture features parall...

In paper a rationalized approaches to Discrete Wavelet Transform (DWT) coefficients computing, based on modified algorithm of DWT base operation execution, with less multiplication operations are presented. Those several intuitive ways allow to decrease computational complexity of hardware operational units for DWT basic operation computation and provide convenient conditions for wavelet data t...

Discrete Wavelet Transform (DWT) has demonstrated far superior to previous Discrete Cosine Transform (DCT) and standard JPEG in natural as well as medical image compression. Due to its localization properties both in special and transform domain, the quantization error introduced in DWT does not propagate globally as in DCT. Moreover, DWT is a global approach that avoids block artifacts as in t...

Discrete-time wavelet transform (DWT) is found to be better than other transforms in the time-varying system analysis, e.g. for time-varying parametric modelling [16], time-varying systems identification [17], time-varying parameter estimation [18] and time domain signal analysis [19]. In the literature the common method to analyze the time-varying system using discrete-time wavelet transform i...

In this paper, the PSNR performance of conventional discrete cosine transform (DCT) OFDM system is compared with discrete wavelet transform (DWT)-OFDM system. We use different error correcting codes viz; Reed Solomon, LDPC, DCT and DWT. KeywordsDCT, DWT, OFDM, Reed Solomon, LDPC.

In their recent paper, Alnasser and Foroosh derive a wavelet-domain (in-band) method for phase-shifting of 2-D "nonseparable" Haar transform coefficients. Their approach is parametrical to the (a priori known) image translation. In this correspondence, we show that the utilized transform is in fact the separable Haar discrete wavelet transform (DWT). As such, wavelet-domain phase shifting can b...

This paper addresses the most relevant aspects of lossy image coding techniques, and presents an evaluation study on this subject, using several transforms and different methods in the transform domain. We developed different transform based image coders/decoders (codecs) using different transforms, such as the discrete cosine transform, the discrete wavelet transform and the S transform. Besid...