Hybrid DWT-DCT compression algorithm &amp; a new flipping block with an adaptive RLE method for high medical image compression ratio

S Rafea,Dr N H Salman

doi:10.14419/ijet.v7i4.25904

Abstract

Huge number of medical images are generated and needs for more storage capacity and bandwidth for transferring over the networks. Hybrid DWT-DCT compression algorithm is applied to compress the medical images by exploiting the features of both techniques. Discrete Wavelet Transform (DWT) coding is applied to image YCbCr color model which decompose image bands into four subbands (LL, HL, LH and HH). The LL subband is transformed into low and high frequency components using Discrete Cosine Transform (DCT) to be quantize by scalar quantization that was applied on all image bands, the quantization parameters where reduced by half for the luminance band while it is the same for the chrominance bands to preserve the image quality, the zigzag scan is applied on the quantized coefficients and the output are encoded using DPCM, shift optimizer and shift coding for DC while adaptive RLE, shift optimizer then shift coding applied for AC, the other subbands; LH, HL and HH are compressed using the scalar quantization, Quadtree and shift optimizer then shift coding. In this paper, a new flipping block with an adaptive RLE is proposed and applied for image enhancement. After applying DCT system and scalar quantization, huge number of zeros produced with less number of other values, so an adaptive RLE is used to encode this RUN of zeros which results with more compression.Standard medical images are selected to be used as testing image materials such as CT-Scan, X-Ray, MRI these images are specially used for researches as a testing samples. The results showed high compression ratio with high quality reconstructed images

Highlights

A compression is defined as a process by which the computerized information is modified so that the size required to store the data or the bit-rate required for transmission is reduced
B) Discrete wavelet transform coding In this work, after image color transformation process, the Discrete Wavelet Transform is applied to each band of the transformed color space components Y, Cb and Cr separately, where the DWT represents image data into two sets of coefficients; High pass coefficients and low pass coefficients
Run Length Encoding (RLE) is used because after Discrete Cosine Transform (DCT) is applied, huge number of zeros produced with less number of other values, an adaptive RLE is used to encode this RUN of zeros

Summary

Introduction

A compression is defined as a process by which the computerized information is modified so that the size required to store the data or the bit-rate required for transmission is reduced. Terabytes of medical images and data are generated through advance imaging techniques such as magnetic resonance imaging (MRI), ultrasonography (US), computed tomography (CT), X-rays and many more recent medical imaging techniques. Storing and transferring these huge voluminous data could be an annoying job. Thereby, to reduce transmission time and storage costs, efficient image compression schemes without degradation of image quality are needed. For this purpose many compression and encoding techniques have been used [2,3]. Figure. shows the block diagram of Compression and decompression Algorithm of DCT [4]

Literature survey

Image reconstruction

Conclusion

Future works