The appraised structure for improving quality in the compressed image using eqi-ac algorithm

Abstract

The electronic form of data is compressed practically using techniques to acquire information which are not redundant is called image compression. After compression, the image gains high visual quality with reduced bit rate compared to the raw image. In the Internet of Things (IoT) environment, efficient transmission and storage of images are required for security purposes. Block splitting (BS) and discrete cosine transform (DCT) is applied initially on the raw images to reduce the actual bit rate which minimizes the mean square value (MSE) and the noise in the near-constant region. In this paper, EQI-AC (Enhanced Quality Image After Compression) algorithm is used to enhance contrast, intensity and brightness of the compressed image, which is balanced, for visualization. Peak signal noise ratio (PSNR) values are calculated and found that 1/3rd of the psnr value is decreased comparing to the original image as displayed in Table 1. Structure similarity index (SSIM) values are calculated and found that there is slight degrade from 0.01 to 0.1 range in the quality of the compressed image compared to the original image.Table 1.