A Comparative Study of Famous Image Compression Methods Based on Bits per Pixel: A Survey
U Shivanna, Niladri Sekhar Dey, K. Purnachand, M. Narayana, Govardhana Rao Inampudi · Journal of Critical Reviews · 2020
Image processing techniques are one of the most popular research directions for the concentration by the researchers for many years. The popularity of image based data representation has increased and the demand for faster transmission and low cost storage of the image has also increased. Thus, the major focus of the researchers is to increase the transmission speed and reduce the storage cost. The only way to obtain these goals is to reduce the size of the image without losing much of the information. The reduction of image size is a popular technique and understood as image compression techniques. The compression on image will certainly reduce the size. Nevertheless it will also reduce the information from the image. Thus the loss of the image data will strive to be maintained. Thus, the compression techniques are bound by the trade-off between the compression ratios and lose of image information. Therefore, this paper analyses and compares the image compression techniques based on compression ratio, lossy or lossless nature of the method and bits per pixel density. The purpose of this study is to understand the scope for improvements in the image processing capabilities by computations.