New Algorithm of Contour Compression using Spatial Domain Methods Wavelet Transform

摘要

This paper presents a method of contour extraction and compression from grey level image. The proposed algorithm is applied in spectral domain using single-level wavelet transform (WT). Single step parallel contour extraction (SSPCE) method is used for the binary image after inverse wavelet transform is applied to the details images. Then the contours are compressed using either ramer, triangle, or trapezoid methods in spatial domain. Effectiveness of the contour extraction and compression for different classes of images is evaluated. In the paper the main idea of the analyzed procedure for both contour extraction and image compression are performed. To compare the results, the mean square error, signal-to-noise ratio criterions, and compression ratio (or bit per pixel) were used. The simplicity to obtain compressed image and extracted contours with accepted level of the reconstruction is the main advantage of the proposed algorithm.