Абстрактный

Image Compression Using PBO

Vikas Gupta, Dhanvir Kaur, SimratPal Kaur

The basic goal of image data compression is to reduce the bit rate for transmission and storage while either maintaining the original quality or providing an acceptable fidelity. JPEG is the one of the hottest topics in image compression technology. JPEG is different because it is primarily a lossy method of compression. It converts the spatial domain into frequency domain. It used DCT which provides the high compressed image. A new proposed PBO based JPEG compression scheme is used to compress the images which helps to reduce the size of images. The method uses four metrics such as peak signal to noise ratio, mean squared error, Entropy value & EPI factor value that measured the performance to compare and analyze the results. The proposed model focuses on reducing the size of image & time elapsed in compression with minimum distortion in reconstructed image and is practically implemented using MATLAB 7.11.0 environment. The aim of compression is to achieve good quality compressed image making the storage and transmission more efficient. The proposed method is implemented using some images. The implementation of the PBO based JPEG obtains the higher PSNR value. The higher the PSNR value higher the quality of an image. The higher PSNR is obtained for compressed image by PBO based JPEG compression as compared to JPEG Compression. This shows that the PBO based JPEG Compression is better than JPEG technique for image compression.