In this study, the integrated use of data compression and digital modulation techniques was examined to ensure the efficient transmission of image data in a wireless environment. A gray-level image was selected as the image data and compressed using the Huffman coding method. The compressed bit sequence was modulated using the Binary Phase Shift Keying (BPSK) method as the digital modulation technique. The modulated signals were passed through an AWGN (Additive White Gaussian Noise) channel, which is accepted as a noisy channel model. The performance of the system was observed at different SNR (Signal-to-Noise Ratio) values, and a demodulation process was applied post-transmission. On the receiver side, the Huffman decoding process was performed to convert the compressed data back into an image. As a result of the simulations performed, both the data compression success and the Bit Error Rate (BER) of the system were examined. The transmission reliability in the AWGN environment was evaluated alongside the compression ratio obtained through Huffman coding. This study is significant for demonstrating the effectiveness of image transmission, particularly in wireless communication environments with low bandwidth and limited energy resources