Image Transmission Based on Wireless Sensor Networks with Compression Algorithm Implementation

Application Background: Image transmission in wireless sensor networks (WSNs) presents significant challenges in resource optimization. By improving processing techniques and reducing energy consumption through memory-efficient image compression algorithms, we can enable diverse applications. Key Technology: Image compression techniques are employed to decrease processor bandwidth utilization, minimize energy consumption during processing, and optimize image transmission efficiency - with implementations often involving discrete cosine transform (DCT) or wavelet-based compression algorithms.