Abstract
The importance of different data compression algorithms is highlighted in the process of storing big data in data warehouses and archives and in reducing the volume of big data during its transmission through communication channels, so many compression algorithms have emerged that are designed to process different data.
 Images are used in different fields in our daily lives, such as social networks, medical diagnoses, remote sensing, and other fields, and since the size and accuracy of images are constantly evolving, the issue of storing and transferring images requires a compressing process to reduce their size. A hybrid based on lossy compression method and lossless compression method based on Huffman algorithms and wavelet transform. In this research, the efficiency of the proposed method was studied and compared to independent compression methods.
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