• NIKITA MISHRA
• CHANDRASHEKHAR KAMARGAONKAR

Digital medical image which produces digital pictures of human body provides powerful tools for diagnosis, treatment and surgery. Hence becomes a major aspect of modern healthcare delivery. It is a fast growing area with the richest source of information and variety of modalities such as X-ray transmission imaging (X-ray), magnetic resonance imaging (MRI), computed tomography (CT), ultrasound images, positron emission tomography (PET) and many others. There exists a need for compression of these images for storage and communication purposes. Therefore, in this paper we propose a new compression algorithm which comprises the Block based PCA and Haar Wavelet algorithm (DWT family). At first, we apply the block based PCA on ROI region (diagnostically important area) followed by the Haar wavelet transform on NROI (diagnostically unimportant area) region. Here, Block based PCA is used for lossless compression of medical image whereas Haar Wavelet is utilized for lossy image compression. In this paper we are applying the above proposed technique on samples of five different CT images. The results are calculated using parameters like PSNR (image quality), CR (Compression Ratio), MSE (Mean Square Error), SSIM (Structure Similarity Index) and BER (Bit Error Rate).

ROI; NROI; PSNR; CR; MSE; SSIM; BER; Block Based PCA and Haar Wavelet.

"Hybrid Image Compression Of Medical Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.346-352, September-2018, Available :http://www.jetir.org/papers/JETIR1809199.pdf

"Hybrid Image Compression Of Medical Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp346-352, September-2018, Available at : http://www.jetir.org/papers/JETIR1809199.pdf