The Block Truncation Coding (BTC) is one of the lossy image compression algorithms. In this paper, we have proposed a method called the Improved Adaptive Block Truncation Coding (IABTC) based on Adaptive Block Truncation Coding (ABTC). The feature of inter-pixel redundancy is exploited to reduce the bit-rate further by retaining the quality of the reconstructed images. The proposed method outpe...

Wavelet transform coeecients are deened by both a magnitude and a sign. While promising algorithms exist for eeciently coding the transform coeecient magnitudes 7, 13, 9, 8, 11], current wavelet image coding algorithms are not eecient at coding the sign of the transform coeecients. It is generally assumed that there is no compression gain to be obtained from entropy coding of the sign. Only rec...

Besides on-line and off-line visual quality evaluation, how distortion is gauged also plays a determinative role in shaping most algorithms for image and video manipulations, such as enhancement, reconstruction, data hiding, compression, and joint source/channel coding. Visual quality control within an encoder and distortion assessment for decoded signal is particularly of interests due to the ...

Modern compression algorithms are often the result of laborious domain-specific research; industry standards such as MP3, JPEG, and AMR-WB took years to develop and were largely hand-designed. We present a deep neural network model which optimizes all the steps of a wideband speech coding pipeline (compression, quantization, entropy coding, and decompression) end-to-end directly from raw speech...

Most state-of-the-art image compression techniques exploit the dependencies between the subbands in a wavelet transformed image. We propose a progressive image coding technique which is based upon the augmented zerotrees of wavelet coefficients. An augmented zerotree can be regarded as a spatial orientation tree with some extended characteristics. Both the coder and decoder require to maintain ...

During the last decade many algorithms for compressing 3D animations represented by sequences of triangular meshes have been proposed. Most of these algorithms are lossy in their nature, i.e. the reconstructed data do not exactly match the algorithm input. Quite surprisingly, most of the existing algorithms mainly use only general compression techniques, such as entropy coding, quantisation, PC...

The paper presents a new algorithm for ECG signal compression based on local extreme extraction, adaptive hysteretic filtering and LZW coding. Basically the method consists in smoothing the ECG signal with a Savitzky-Golay filter, extraction of the local minima and maxima, a hysteretic filtering and LZW coding. The reconstruction of the ECG signal is done by cubic interpolation. The algorithm i...

Most state-of-the-art image compression techniques exploit the dependencies between the subbands in a wavelet transformed image. We propose a progressive image coding technique which is based upon the augmented zerotrees of wavelet coeecients. An augmented zerotree can be regarded as a spatial orientation tree with some extended characteristics. Both the coder and decoder require to maintain on...

This paper concerns digital image compression using adaptive thinning algorithms. Adaptive thinning is a recursive point removal scheme which works with decremental Delaunay triangulations. When applied to digital images, adaptive thinning returns a scattered set of most significant pixels. This requires efficient and customized methods for coding these pixels (but not their connectivities). To...