Biorthogonal wavelets have been used with great success in most of the recent transform image coders. By using the new balanced multiwavelets, one can now easily design fully orthogonal linear phase FIR transform schemes. The aim of our work is to assess whether the added orthogo-nality yields a performance gain compared to traditional biorthogonal transforms. As comparison platform we use the ...

In this paper, a novel approach for Embedded to Lossless Image Coding (ELIC) is presented. With embedded to lossless coding, lossy encodings of the image at all lower bit rates are embedded in the lossless bit stream. This algorithm uses wavelet transforms that map integers to integers with embedded coding. The coding is based on bit significance criteria in which coefficients that become signi...

Traditionally, data hiding and compression have had contradictory goals. The former problem adds perceptually irrelevant information in order to embed data, while the latter removes this irrelevancy and redundancy to reduce storage requirements. In this paper, we use data hiding to help improve signal compression.We take an unconventional approach and consider “piggy-backing” the color informat...

The wireless sensor network utilizes image compression algorithms like JPEG, JPEG2000, and SPIHT for image transmission with high coding efficiency. During compression, discrete cosine transform (DCT)–based JPEG has blocking artifacts at low bit-rates. But this effect is reduced by discrete wavelet transform (DWT)–based JPEG2000 and SPIHT algorithm but it possess high computational complexity. ...

In this paper, a new approach of images coding by Shapiro algorithm (Embedded Zerotree Wavelet algorithm or EZW) is proposed. In this approach, the old Shapiro algorithm for image coding is modified. The new modified EZW (MEZW), distributes entropy differently and also optimizes the coding. This new version can produce good results that are a significantly improve the PSNR and compression ratio...

A modified Orthogonal Frequency Division Multiplexing (OFDM) system for robust progressive image transmission is proposed in this paper. A joint source-channel coder (JSCC) is employed in the modified OFDM system. The set partitioning hierarchical trees (SPIHT) used as source coder, and The Low-Density Parity-Check (LDPC) used as a channel coder. The SPIHT coder is modified to generate four dif...

In this paper, we propose a Perceptually Optimized Foveation based Embedded ZeroTree Image Coder (POEFIC) that introduces a perceptual weighting to wavelet coefficients prior to control SPIHT encoding algorithm in order to reach a targeted bit rate with a perceptual quality improvement with respect to a given bit rate a fixation point which determines the region of interest ROI. The paper also,...

The transmission of still images over wireless channels is an exercise in tradeoos. For bandwidth eeciency, a high source compression rate is required. However, the transmission must be robust towards channel errors since wireless channels are subject to fading. These are connicting requirements. High source compression rates result in images that are very vulnerable to any single bit error. Lo...

This paper describes the compression of grayscale medical ultrasound images using a new compression technique, space-frequency segmentation. This method finds the rate-distortion optimal representation of an image from a large set of possible space-frequency partitions and quantizer combinations. The method is especially effective when the images to code are statistically inhomogeneous, which i...

OBJECTIVE The work proposed a novel bit-rate-reduced approach for reducing the memory required to store a remote diagnosis and rapidly transmission it. METHOD In the work, an 8x8 Discrete Cosine Transform (DCT) approach is adopted to perform subband decomposition. Modified set partitioning in hierarchical trees (SPIHT) is then employed to organize data and entropy coding. The translation func...