AN EXQUISITE APPROACH FOR IMAGE COMPRESSION TECHNIQUE USING LOSSLESS COMPRESSION ALGORITHM FOR ROI & NON-ROI REGIONS
Shivaputra Shivaputra, HS Sheshadri, Veerabhadraiah Lokesha · Zenodo (CERN European Organization for Nuclear Research) · 2015
The imminent evolution in the field of medical imaging, telehealth and teleradiology services has been on a significant rise with a dire need for a proficient structure for the compression of a DICOM (Digital Imaging and Communications in Medicine) standard medical image obtained through various modalities, with clinical relevance and digitized clinical data, and various other diagnostic phenomena and the progressive transmission of such a medical image over varying bandwidths. The data loss redundancy during the process of compression is to be maintained below the alarming level, meaning it is to be under scanner without the loss of data/information. In this paper we present an efficient time bound algorithm that utilizes a process flow wherein multiple ROI sectors as well as the Non-ROI sector of the DICOM image are considered in the algorithmic machine and the compression is done based upon a hybrid compression algorithm by LZW & SPIHT encoder & decoder machines. The paper provides a magnitude of the overall compression ratio involved in thus compressing the DICOM standard image. It also provides a brief description about the PSNR values obtained after suitably compressing the image. We analyze the various encoder scenarios and have projected a suitable hybrid lossless compression algorithm that helps in the retrieval of the data/information related to the image. This paper also discusses around the Integer Wavelet Transforms used in order to encode the image and thus parameterize various metrics related to the transform function provided by IWT. It is seen that we could achieve a compression ratio value specific to 92% thereby swaying with a large deviation in the considered metric.