Digital Hologram Compression Using Correlation of Reconstructed Object Images

An efficient digital hologram compression algorithm is proposed using the correlation in the complex valued object image. While the pure values are almost uncorrelated, the magnitude values exhibit a strong correlation between the real and imaginary part object images. Therefore, we adaptively employ the encoding result of one image to encode another image. Both images are first wavelet transformed and the wavelet coefficients are encoded using the SPIHT method. We used the significance encoding result of the real part image as the contexts of arithmetic coder for encoding the imaginary part image. Experimental results demonstrate that the proposed algorithm yields a better compression performance than the conventional method