Abstract: With increasing growth in wireless multimedia image communication, the topics related to be handled are resource consumption and quality of the image being transmitted without noise. In this paper we propose a novel method to compress the image using improved wavelet based polyominos lossless compression technique which increases the quality of image at receiving end. The compressed image is transmitted by Energy Efficient High Quality Image Transmission scheme (EEHQIT) to achieve energy efficient image transmissions in Wireless Sensor Networks (WSNs). However the existence of noise makes the imaging system is a complicated task. In this scenario reducing noise using filter technique for achieving high quality compression image transmission is desired. To avoid noise in the compressed image, a scheme of spatial averaging filter is presented and tested on the transmitted compressed image. This approach removes the noise from the transmitted image by way of rebuilding the image to obtain the original image without loss of information. Experiments were conducted using the natural and real images collected by our-selves shows that our approach, spatial averaging filter improves the image quality of the compressed image at the receiver side. Simulation results show up to 85% reduction in the total power consumption and higher PSNR value is achieved using the proposed noise filtering strategy. In this approach, the wireless image transmission is efficiently implemented from the source to designation via the router.