Gray Scale Image Compression Using PSO with Guided Filter and DWT

摘要

The vital goal of the image compression is to abate the insignificant facts of the image. Image compression is acclamatory while uploading and downloading images over the web. Image compression is the concept to compress the multifarious hyper spectral images, landsat images, multispectral images while maintaining the quality of an image and preventing the noise. The prime aim is to get the compressed image with improved radiometric resolution. Existing approaches are also efficient but still suffers from ringing artifacts. So an efficient technique for compressing the grayscale images is introduced. The proposed approach used particle swarm optimization (PSO), discrete wavelet transform (DWT), and guided image filter (GF). The idea behind the proposed technique is to apply PSO on the DWT along with GF to diminish the ringing artifacts, Gaussian noise and improve the radiometric resolution of the images. The overall result shows that proposed technique has improved radiometric information and lesser ringing artifacts than existing methods.