IMAGE COMPRESSION USING DEEPAUTOENCODER
International Research Journal of Modernization in Engineering Technology and Science · 2023
The rapid emergence of several online platforms has led to the generation of an enormous amount of data, mostly in the form of images and videos.Multimedia data including graphical, audio and video data in the uncompressed form needs noticeable amount of storage space and bandwidth for its transmission.TO overcome the problem of storage space and bandwidth, the necessity of suitable image compression methods has become a necessity.Image compression is the reduction in the dimension of an image for beneficial storage and transmission.Various methodologies had immerged to solve this problem, but mostly suffered a major drawback, that is the reconstructed image suffers significant data loss.A convolutional autoencoder model has been created with 20 different layers and filters to get a better image compression model.The proposed model can be implemented using Python, Keras, and Tensorflow backend.