Steerable-Discrete-Cosine-Transform (SDCT): Hardware Implementation and Performance Analysis

JPEG Encoder using Discrete Cosine Transform & Inverse Discrete Cosine Transform

In the past decade, the advancement in data communications was significant during explosive growth of the Internet, which led to the demand for using multimedia in portable devices. Video and Audio data streams require a huge amount of bandwidth to be transferred in an uncompressed form. The objective of this paper is to minimize the number of bits required to represent an image and also the ac...

Matlab Implementation of Baseline JPEG Image Compression Using Hardware Optimized Discrete Cosine Transform

In this paper, modeling of optimized Discrete Cosine Transform (DCT) with reduced hardware and implementation of JPEG Image compression in MATLAB is presented. DCT is the heart of the JPEG image compression. The computation of DCT is hardware intensive and power consumption is also very high. In JPEG Image Compression pipeline, a quantizer follows the DCT. Such structural pipeline is advantageo...

Hardware Implementation of a Low-Power Two-Dimensional Discrete Cosine Transform

In this project, a JPEG compliant, low-power dedicated, two-dimensional, Discrete Cosine Transform (DCT) core meeting all IBM Softcore requirements is developed. Power is optimized completely at the algorithmic, architectural, and logic levels. The architecture uses row-column decomposition of a fast 1-D algorithm implemented with distributed arithmetic. It features clock gating schemes as well...

Discrete Cosine Transform

On discrete cosine transform

The discrete cosine transform (DCT), introduced by Ahmed, Natarajan and Rao, has been used in many applications of digital signal processing, data compression and information hiding. There are four types of the discrete cosine transform. In simulating the discrete cosine transform, we propose a generalized discrete cosine transform with three parameters, and prove its orthogonality for some new...