There has been increasing usage of Multiple Description Coding (MDC) for error concealment in non-ideal channels. A lot of ideas have been masterminded for MDC method up to now. This paper described the attempts to conceal the error and reconstruct the lost descriptions caused by combining MDC and lapped orthogonal transform (LOT). In this work LOT and other transforms codings (DCT and wavelet)...

The FPL implementation of an 8×8 Two Dimensional Discrete Cosine Transform (2D-DCT) processor based on the Residue Number System (RNS) is presented in this paper. It makes use of a Fast Cosine Transform (FCT) algorithm that requires a single multiplication stage for each signal path, while most other algorithms include paths with more than one multiplication. The row-column decomposition techni...

We show that an efficient quantizer originally developed for wavelet compression can be applied to DCT coding with excellent results. We have implemented a system for block-based, embedded, progressive, DCT image compression which makes use of the embedded zerotree wavelet (EZW) algorithm of Shapiro. The image is partitioned into a number of distinct square blocks and the DCT applied to each of...

Discrete cosine transform (DCT) and wavelet transform coding system are the most popular image compression methods. Although DCT has outstanding energy compaction properties, blocking artifacts impact its performance. Wavelet avoids blocking artifacts; it is also the most popular approach to doing image compression and denoising simultaneously. However wavelet has higher computational complexit...

This paper describes the design of a low-power DCT (Discrete Cosine Transform) architecture using varies techniques. The low-power design is one of the most important challenges to maximize battery life in portable devices and to save the energy during system operation. Discrete Cosine Transform (DCT) is one of the most popular lossy techniques used in image and video compression standards. Sev...

This paper introduces a new CBIR system based on two different approaches in order to achieve the retrieval efficiency and accuracy. Color and texture information is extracted and used in this work to form the feature vector. To do the texture feature extraction this system uses DCT and DCT Wavelet transform to generate the feature vectors of the query and database images. Color information ext...

Discrete Cosine Transform (DCT) constitutes a powerful tool in signal processing, since its first introduction (Ahmed et al., 1974). It belongs to a class of mathematical operations that includes the well-known Fast Fourier Transform (FFT), having as basic operation taking a signal and transforming it from one type of representation to another. More precisely, DCT transforms a signal from the s...

The discrete cosine transform (DCT) is widely regarded as a key operation in digital signal processing [15,51]. In fact, the Karhunen-Loève transform (KLT) is the asymptotic equivalent of the DCT, being the former an optimal transform in terms of decorrelation and energy compaction properties [1,15,18,23,37,51]. When high correlated first-order Markov signals are considered [15, 51]—such as nat...

Since their introduction the Trasformer architectures emerged as dominating for both natural language processing and, more recently, computer vision applications. An intrinsic limitation of this family "fully-attentive" arises from computation dot-product attention, which grows in memory consumption and number operations $O(n^2)$ where $n$ stands input sequence length, thus limiting application...