Wireless Image Transmission over Noisy Channels Using Turbo Codes and De-noising Filters

In today’s world transmission of data i.e. voice and image plays vital role in day to day communication. While transmitting the voice or image over wireless channels there is higher probability of information getting corrupted because of various types of noises presence in the channel. This paper focusing on transmission of image through wireless channels. The impact of noise can be minimized by using effective channel coding technique called Turbo coding and denoising filters i.e. wiener or median filter. These turbo codes are proved to be best to minimize the probability of bit errors & filtering approach is proved to be best to de-noise the image by obtaining higher PSNR. Simulated results show there is a clear improvement in quality of image using turbo codes with or without filters. Keywords—Image compression, Bit plane Slicing, Turbo coding, De-noising Filters.