since the birth of multi–spectral imaging techniques, there has been a tendency to consider and process this new type of data as a set of parallel gray–scale images, instead of an ensemble of an n–d realization. although, even now, some researchers make the same assumption, it is proved that using vector geometries leads to better results. in this paper, first a method is proposed to extract th...

Medical image data (Ultrasonography, Computed Tomography, Magnetic Resonance Imaging etc. ) consumes maximum storage and utilize maximum bandwidth for transmission that often results in degradation of image quality. Due to these inherent issues in such type of images, compression is the only applicable technique explored in the due course of prior research work. Currently, there exists abundant...

The field of image set compression, which refers to the compression of image sets like photo albums and medical images, is becoming increasingly relevant in today’s digital world. In recent years, several schemes for image set compression have been proposed. In this paper, we propose a new SURF based image set compression scheme which uses SURF and HEVC. We also provide comparison results of ou...

Medical image data (Ultrasonography, Computed Tomography, Magnetic Resonance Imaging etc.) consumes maximum storage and utilize maximum bandwidth for transmission that often results in degradation of image quality. Due to these inherent issues in such type of images, compression is the only applicable technique explored in the due course of prior research work. Currently, there exists abundant ...

An imposing number of lossy compression techniques used in medicine, represents a challenge for the developers of a Picture Archiving and Communication System (PACS). How to choose an appropriate lossy medical image compression technique for PACS? The question is not anymore whether to compress medical images in lossless or lossy way, but rather which type of lossy compression to use. The numbe...

In this paper, we propose a novel interframe coding method for 3-D medical images. Existing 3-D medical image compression techniques are less effective in case that the interslice distance is not narrow enough. Based on adaptive inter/intra mode selection in motion compensation, however, the proposed method provides good performance regardless of the interslice distance. In this method, adaptiv...

BACKGROUND Storage issues and bandwidth over networks have led to a need to optimally compress medical imaging files while leaving clinical image quality uncompromised. METHODS To determine the range of clinically acceptable medical image compression across multiple modalities (CT, MR, and XR), we performed psychometric analysis of image distortion thresholds using physician readers and also ...

The demand for images in medical field has increased drastically over the years. The need for reducing the storage space has resulted in image compression. This paper presents a dual transform for medical image compression algorithm. The experimental results determines how the compression ratio (CR), peak signal to noise ratio (PSNR) and SNR (signal to noise ratio) of different compression algo...