Compression of Color Image Using Butterworth Low Pass Filtering

Compression of Color Image Using Butterworth Low Pass Filtering

Spandan Bera, Upasana Paul, Upasana Chattopadhyay, Sujit Layek, Snehal Bhowmick, Anirban Patra*

  Dept. of ECE, JIS College of Engineering, Kalyani, Nadia, West Bengal

*anirban.patra@jiscollege.ac.in

Abstract:

The human eye can’t detect the high-frequency components of the image. Therefore, it is unnecessary to carry the high-frequency components as it consumes too much storage space as well as bandwidth. To overcome this problem, filtering of the image is performed which eliminates the high-frequency components from the image. In this article, we propose a novel method of color image filtering using Butterworth Low Pass Filtering (LPF). The selected color image is divided into three planes- Red, Green, and Blue. Butterworth Low Pass Filtering is applied to each plane separately and then they are joined together. The cut-off frequency is varied to improve the quality of the output image. Quality is checked by the PSNR method. The total operation is performed using MATLAB software and it provides a satisfactory result. This system is useful for all types of images.

Keywords:

Image, Fourier Transform, Low Pass Filtering, Cut-off frequency, PSNR