Dac mobi data-assisted communications of mobile images with cloud computing support +91-9994232214,7806844441, ieeeprojectchennai@gmail.com, www.projectsieee.com, www.ieee-projects-chennai.com IEEE PROJECTS 2016-2017 ----------------------------------- Contact:+91-9994232214,+91-7806844441 Email: ieeeprojectchennai@gmail.com

1. DAC-Mobi: Data-Assisted Communications of Mobile Images with Cloud
Computing Support
Abstract:
This research proposes a novel data assisted image transmission scheme, which
utilizes a large amount of correlated images stored in the cloud to improve the
spectrum efficiency and visual quality. First, a two-layer Coset coding is proposed
for the DCT coefficients transmission. The most significant bits (MSB) of the
coefficients are generated by the first layer Coset and together with a few low
frequency coefficients are transmitted through the most reliable channel coding
and digital modulation. The middle bits generated by the second layer Coset are
discarded by the sender and the residual bits are transmitted through amplitude
modulation. Based on the MSB and the residual bits, an approximation of the
original image is reconstructed. With this approximation, a lot of correlated
images can be retrieved from the cloud, which are used to recover the discarded
middle bits. The two layer Coset coding can significantly decrease the data energy
so as to improve the transmission power efficiency. Hence, the end to end
distortion of amplitude modulation can be reduced. Second, the image quality
can be further improved by joint internal and external denoising with the
retrieved images. Simulations show that the proposed scheme outperforms
conventional digital schemes about 4 dB in peak signal to noise power ratio
(PSNR) and achieves 2 dB gain over the state-of-the-art uncoded transmission. At
low signal to noise power ratio (SNR), an additional 2-3 dB gain is achieved. The
visual quality comparison also validates the objective image assessment result.