A Comparative Analysis of Image Compression using PCM and DPCM

Gbaranwi Barima Precious; Kabari Ledisi Giok

doi:10.52589/BJCNIT-KYUR6RDW

A Comparative Analysis of Image Compression using PCM and DPCM | AB Journals

A Comparative Analysis of Image Compression using PCM and DPCM

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British Journal of Computer, Networking and Information Technology

Vol. 4Issue 12021pp. 60–67Published 20 July 2021

DOI 10.52589/BJCNIT-KYUR6RDW

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Abstract:

The quality of the signal is essential in digital communication and signal processing. The transmission channel is also important. Modulation is used for effectively transmission of signal. There exist several types of modulation techniques. One of such is the pulse code modulation (PCM). The performance of PCM is however affected by quantization error and noise in the transmission channel, which affects the quality of the output. Against this backdrop, this paper presents the use of differential pulse code modulation (DPCM) so as to address the limitation of pulse code modulation. The simulation environment is MATLAB 2018a. The MATLAB Simulink is used to design the PCM and DPCM systems using appropriate digital processing blocks. The DPCM system shows a significant improvement in terms of error reduction and quality of output.

Keywords:Digital Signal Processing Image Compression PCM DPCM SNR Simulink MATLAB.

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