Stereoscopic Images Enhancement Based on Edge Sharpening of Wavelet Coefficients

Abstract:

This paper proposed a new image enhancement algorithm based on edge sharpening of wavelet coefficients for stereoscopic images. Our scheme uses the multi-scale characteristic of wavelet transform, decomposes the original image into low frequency approximation sub-graph and several high frequency direction. Under the multi-scale, the low frequency approximation sub-graph is processed by edge sharpening method. Then the low frequency sub-graph decomposes in multi-scale again. At last, the low frequency approximation graph after four layers decompose sharpening and the high frequency approximation of the decomposed sub-graph will be refactored to get the new image. Experimental results show that whether PSNR or visual effect, or the subjective assessment of the DMOS value, the proposed method has better enhanced performance than the conventional edge sharpening and wavelet transform. And it has good image edge enhancement, details protection. Meanwhile, the proposed algorithm has the same computational complexity with wavelet transform.

• Periodical: Applied Mechanics and Materials (Volumes 511-512)
• Pages: 490-494
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.511-512.490
• Online since: February 2014
• Authors: Yi Min Qiu*, Shi Hong Chen, Yi Zhou, Xin Hai Liu
• Keywords: Edge Sharpening, Image Enhancement, Peak Signal Noise Ratio, Quality Assessment, Stereoscopic Images, Wavelet Coefficients

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