Impact of Various implemented Digital Signal Processing Techniques on Quality Assessment of Retrieved Color Image in a Noisy Channel
Shammi Farhana Islam · 2014
Noise is inevitable and ubiquitous in our natural environment. Noise reduction is a challenging task in various aspects of digital/ analog signal processing. In this paper, a comprehensive study has been made on the effectiveness of various digital signal detection techniques such as Ideal Inverse Channel Filtering, Minimum-mean-square-error (MMSE) and Cancellation of Correlation aided signal detection. From MATLAB based simulation study on 192×200 sized color image transmission in a noisy channel, it has been explored that the Cancellation of Correlation aided signal detection technique is very much effective and robust in retrieving data in highly noisy and hostile Channel