An Effective Progressive Image Transmission using Superpixel based Saliency Detection and Modified SPIHT Compression Algorithm
Ravikiran H. K.1, Jayanth J2
1Ravikiran H.K.*, Department of Electronics and Communication, GSSS Institute of Engineering and Technology for Women, Affiliated to Visvesvaraya technological university, Mysuru, India.
2Dr. Jayanth J, Department of Electronics and Communication, GSSS Institute of Engineering and Technology for Women, Affiliated to Visvesvaraya technological university, Mysuru, India,
Manuscript received on November 25, 2019. | Revised Manuscript received on December 08, 2019. | Manuscript published on December 30, 2019. | PP: 176-184 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B3184129219/2019©BEIESP | DOI: 10.35940/ijeat.B3184.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A new progressive image transmission system was proposed in this research paper for effective usage of communication bandwidth. At first, the superpixel based saliency detection method was used for segmenting the foreground region from the background region, because it gives more saliency information of an image with the benefit of color contrast. Then, Integer Wavelet Transform (IWT) was applied in the foreground image, which delivers A good quality of the image and also the compression ratio of the image was decent. Additionally, optimized neural network and modified Set Partitioned in Hierarchical Tree (SPIHT) algorithm were applied in the background image that delivers good rate distortion properties in the noise free environment and also enhances the image visual experience. In modified SPIHT, the sub-tree roots were not excluded that helps to encode and quantize the wavelet coefficients effectively. Also, it delivers more information to the image edges that effectively improves the subjective visual experience. Experiment report showed that the proposed work enhanced the Peak Signal to Noise Ratio (PSNR) upto 5dB compared to the existing work.
Keywords: Integer wavelet transform, modified set partitioned in hierarchical tree, neural network, progressive image transmission, and superpixel based saliency detection