Intelligent Satin Bowerbird Optimizer Based Compression Technique for Remote Sensing Images

Due to latest advancements in the field of remote sensing, it becomes easier acquire high quality images by use various satellites along with sensing components. But massive quantity data poses a challenging issue store and effectively transmit images. Therefore, image compression techniques can be utilized process In this aspect, vector quantization (VQ) employed for widely applied VQ approach is Linde–Buzo–Gray (LBG) which creates local optimum codebook construction. The constructing treated as optimization metaheuristic algorithms resolving it. With motivation, article presents an intelligent satin bowerbird optimizer based technique (ISBO-CT) goal ISBO-CT proficiently compress effective design codebook. Besides, makes (SBO) LBG employed. SBO algorithm depicts novelty work. To showcase enhanced efficiency approach, extensive range simulations were outcomes reported performance related recent state art approaches.