Blocking artifacts reduction in image compression with block boundary discontinuity criterion

Medical image compression plays a vital role in diagnosis of diseases which allowing manipulation, efficient, transmission and storage of color, binary and grayscale image. Before transmission and storage, a medical image may be required to be compressed. The objective of the study is to develop an efficient and effective technique for digital medical images which alleviates the blocking artifacts from grayscale image while retaining all relevant structures. In this paper, we demonstrate a highly engineered postprocessing filtering approach has been designed to remove blocking effects from medical images at low bit rate. The proposed technique is comprised of three strategies i.e. 1) a threshold valve scheme which is used to capture the pixel vectors containing blocking artifacts. 2) Blocking artifacts measurement techniques. The blocking artifacts are measured by three frequency related modes (low, Moderate and high frequency model). 3) A directional filter which is used to remove over-smoothing and ringing artifacts near edges of block boundary. The algorithm is tested on digital medical grayscale images from different modalities. The experimental results illustrate that the proposed technique is more efficient on the basis of PSNR-B, MSSIM, and MOS indices than the state-of-the-art methods. The proposed algorithm can be seamlessly applied in area of medical image compression which high transmission efficiency and acceptable image quality can be guaranteed.

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Blocking artifacts reduction for DCT-based image compression using neurofuzzy driven anisotropic diffusion

Proceedings of 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, 2004. ◽

10.1109/isimp.2004.1434115 ◽

2005 ◽

Author(s):

Sum Yao ◽

Zhongking Lu ◽

Weisi Lin ◽

EePing Ong ◽

Xiaokang Yang

Keyword(s):

Image Compression ◽

Anisotropic Diffusion ◽

Blocking Artifacts ◽

Artifacts Reduction

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3D DCT Based Image Compression Method for the Medical Endoscopic Application

Sensors ◽

10.3390/s21051817 ◽

2021 ◽

Vol 21 (5) ◽

pp. 1817

Author(s):

Jiawen Xue ◽

Li Yin ◽

Zehua Lan ◽

Mingzhu Long ◽

Guolin Li ◽

...

Keyword(s):

Image Compression ◽

Compression Ratio ◽

Signal To Noise Ratio ◽

Blocking Artifacts ◽

Compression Method ◽

High Compression Ratio ◽

Multiplication Operation ◽

3D Data ◽

Wireless Capsule

This paper proposes a novel 3D discrete cosine transform (DCT) based image compression method for medical endoscopic applications. Due to the high correlation among color components of wireless capsule endoscopy (WCE) images, the original 2D Bayer data pattern is reconstructed into a new 3D data pattern, and 3D DCT is adopted to compress the 3D data for high compression ratio and high quality. For the low computational complexity of 3D-DCT, an optimized 4-point DCT butterfly structure without multiplication operation is proposed. Due to the unique characteristics of the 3D data pattern, the quantization and zigzag scan are ameliorated. To further improve the visual quality of decompressed images, a frequency-domain filter is proposed to eliminate the blocking artifacts adaptively. Experiments show that our method attains an average compression ratio (CR) of 22.94:1 with the peak signal to noise ratio (PSNR) of 40.73 dB, which outperforms state-of-the-art methods.

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