期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2016
卷号：85
期号：3
出版社：Journal of Theoretical and Applied
摘要：Over the past decades the magnitude of transmitted information through internet has amplified exponentially. The considerable way to compress an image is provided by image compression. JPEG is the core triumphant still image compression for band width conservation. So images can be accumulated and transmitted earlier. Mathematical morphology is an inventive mathematical theory which can be used to route and appraise the images. In this paper, we intend an innovative JPEG compression algorithm based on fundamental morphological operators dilation and erosion and the other morphological operations which are the amalgamation of the two basic operations. The planned JPEG algorithms shows improved results compared to standard JPEG compressed data in terms of image quality metrics like PSNR, MSE and encoded bits. The planned JPEG algorithms augments speed while lessen memory necessities by reducing the encoded bits. The reconstructed images after decompression are at par with the original image data.
