MODERNIZATION OF A PROGRESSIVEBTC ALGORITHM FOR DISTRIBUTED IMAGE COMPRESSION

The article discusses how the BTC (Block Truncation Coding) technique was used to construct a progressive algorithm for distributed image compression. Using several processing nodes in a distributed system, the suggested approach enables the compression of large images without compromising image quality or increasing processing times. The image is divided into blocks using the BTC approach. The compressed blocks are subsequently transmitted and combined by the processing nodes to create the original image. Since the number of processing nodes can be changed without compromising the compression ratio or image quality, the algorithm is progressive. In comparison to existing methods, the experimental findings show that the suggested technique achieves higher compression ratios and reduced processing times. The suggested approach can be applied in many different contexts where large image data needs to be efficiently compressed, such as multimedia communication and storage.