We design a differentiation-based multi-resolution approach for lossless image compression. The differentiation technique uses six appropriately weighted adjacent pixels (i.e., the pixels located at the west, west-west, north-west, north, north-east, and north-north of the predicted pixel) to estimate the predicted pixel intensity. This differentiation technique can also be considered as an add...

In this paper a reversible discrete cosine transform (RDCT) is presented. N-point reversible transform is firstly presented, then 8-point RDCT is obtained by substituting the 2 and 4point reversible transforms for 2 and 4-point transforms which compose 8-point discrete cosine transform (DCT), respectively. Integer input signal can be losslessly recovered, although the transform coefficients are...

The paper describes an efficient lossy and lossless three dimensional (3D) image compression of hyperspectral images. The method adopts the 3D spatial-spectral hybrid transform and the proposed transform-based coder. The hybrid transforms are that Karhunen-Loève Transform (KLT) which decorrelates spectral data of a hyperspectral image, and the integer Discrete Wavelet Transform (DWT) which is a...

Two families of symmetry-preserving reversible integer-to-integer wavelet transforms are introduced. Briefly, we explain how transforms from these families can be used in conjunction with symmetric extension in order to handle signals of arbitrary length in a nonexpansive manner (which is often a desirable attribute in signal coding applications). The characteristics of the two transform famili...

We propose an embedded, block-based, image wavelet transform coding algorithm of low complexity. The embedded coding of Set Partitioned Embedded bloCK (SPECK) algorithm is modified and extended to three dimensions. The resultant algorithm, three-Dimensional Set Partitioned Embedded bloCK (3D-SPECK), efficiently encodes 3D volumetric image data by exploiting the dependencies in all dimensions. 3...

This paper proposes a blind reversible watermarking techniquewhich incorporates the histogram shifting in wavelet domain. The integer wavelet transform is used to transform the image into wavelet domain. The watermark data is embedded into the sub-band coefficients identified by just noticeable distortion (JND)of the transformed host image. To ensure the prohibition of pixel overflow and underf...

This paper proposes a blind reversible watermarking approach for medical images based on histogram shifting in wavelet domain. An integer wavelet transform is applied to map the integer host image components to integer wavelet coefficients. The watermark information is inserted into the high frequency subband regions of the transformed image. According to the capacity required for the watermark...

This paper proposed an embedded image compression algorithm called Lossless Multi-Partitioning Successive Zero Coder (LMP-SZC) using the integer wavelet transform for progressive image transmission (PIT). By dynamically adjusting the partitions based on the space-frequency domain coefficients, our algorithm can achieve lower complexity and superior coding efficiency as compared with other well-...

introduction: one of the major problems in the development of nuclear medicine images is the presence of noise. the noise level in nuclear medicine images is usually reduced by the analysis of imaging data in a fourier transform environment. the main drawback of this environment belongs to low signal to noise ratio in high frequencies because removing noise frequencies may remove data and times...