Wireless Sensor Networks (WSN) enable fine- grained environmental monitoring. Sensors, on the other hand, have energy, computational resources, storage, and many other physical limits. Techniques must be devised to increase the limited resource available in a sensor network efficiently. This research intends to improve energy efficiency and resolving transmission issues that occur in wireless sensor networks through a study on hybrid Embedded Zero-Tree Wavelet (EZW) and Set Partitioning in Hierarchical Trees (SPIHT) image compression algorithms. The suggested technique, which combines Dual Image Compression Techniques (DICT), is a promising technique for image compression that transmits only the difference between the images only to the receiver and thus reducing the percentage of bits necessary to exemplify the input for transmission while maintaining high image quality during reconstruction.