Enhanced image transmission with error control

Contrast enhancement of an image can efficiently performed by Histogram Equalization. However, this method tends to introduce unnecessary visual deterioration such as saturation effect. One of the solutions to overcome this weakness is by preserving the mean brightness of the input image inside the output image. This paper proposes a new histogram equalization method called Contrast Stretching Recursively Separated Histogram Equalization (CSRSHE), for brightness preservation and image contrast enhancement. After that a channel coding scheme for progressive transmission of enhanced images is proposed. The transmission time, low distortion reconstructed image and low complexity are most concerned in this paper. The progressive transmission is based on the process that the input image is decomposed into many subblocks each to be coded, compressed, and transmitted individually. In the proposed system, we choose a 3-level Haar wavelet transform to perform the wavelet transform for each subblock. It is simple, faster and easier to implement when compared with other transform method. The channel coding used here is Hamming code which is a simpler and efficient forward error control code. Also we show that compared to other existent methods, our proposed enhanced method (CSRSHE) preserves the image brightness more accurately and produces images with better contrast enhancement.