The improvement in image compression filed is mainly related to the need of rapid and efficient techniques for the storage and transmission of data among individuals. To obtain the maximal capabilities of storage and transmission, different compression algorithms should be compared to find the optimal technique for medical image compression. This work examines the coding properties of the Wavel...

This research paper presents a proposed method for the compression of medical images using hybrid compression technique (DWT, DCT and Huffman coding). The objective of this hybrid scheme is to achieve higher compression rates by first applying DWT and DCT on individual components RGB. After applying this image is quantized to calculate probability index for each unique quantity so as to find ou...

Medical images are the high quality critical images with high resolution. To improve the effectiveness of different processes on medical images, it is required to reduce the size of images. Compression or encoding mechanisms can be applied to reduce the image size. But the challenge is here to preserve the important image information. In this work, a DCT and DWT based hybrid model is defined to...

The demand to preserve raw image data for further processing has been increased with the hasty growth of digital technology. In medical industry the images are generally in the form of sequences which are much correlated. These images are very important and hence lossless compression Technique is required to reduce the number of bits to store these image sequences and take less time to transmit...

Compression has been an important part in image processing due to high amount of information contained within an image, reducing it has become a necessity specially in the medical field, where everyday a lot of studies have to be stored and transmitted for medical uses. Nowadays exists several compression methods, but they do not take into account the fact that certain areas in images are of lo...

Medical image compression is essential for huge database storage in various hospitals and data transfer for diagnosis. Wavelets give one such approach for compression purpose. A wavelet is a wave-like oscillation with an amplitude starts from zero, increases, and then decreases again to zero. Compression techniques are divided into lossless and lossy techniques. Lossless technique involves exac...

background:       lymphedema is a common complication for breast cancer therapy. patients with lymphedema may experience pain and body image issues. this study investigates the effect of combined decongestive therapy and pneumatic compression pump on body image in patients with lymphedema secondary to breast cancer treatment. methods:       42 women with breast cancer related lymphedema partici...

This paper presents an approach for an Enhanced Image Compression Method using Optimal sub-band Shift based SPIHT (Set partitioning in Hierarchal Trees)Algorithm. This is based on the progressive image compression algorithm, SPIHT which is an extension of Shapiro's embedded Zero tree Wavelet Algorithm. The proposed Optimal Sub-band Shift (OSS) Algorithm overcomes the difficulty of Embedded zero...

As medical/biological imaging facilities move towards complete film-less imaging, compression plays a key role. Although lossy compression techniques yield high compression rates, the medical community has been reluctant to adopt these methods, largely for legal reasons, and has instead relied on lossless compression techniques that yield low compression rates. The true goal is to maximise comp...

The information from patient’s body is captured as medical images and is used for surgical and diagnostic purposes. Compression of medical images is essential for storage and transmission of patient's data. Due to high impact of details in medical images, lossless compression is preferred. This paper presents colour medical image compression using Curvelet transform with lifting and Huffman cod...