BIO-MEDICAL IMAGE COMPRESSION AND ENHANCEMENT OF LOW CONTRAST IMAGES
when the usage of computers become more and more enormous amount of data is produced but handling these bulky data is so challenging because storing and transforming these raw data in all perspectives is not so easy, it requires high computational resources often cause high cost and this is the considerable issue in on growing world. Therefore, efficient way of storing and transforming huge amount of data demands the need of image compression using various compression techniques which is available in the market today. All compression techniques come under either lossy or lossless type where as in lossy, the compression ratio is good but distortion is added while in lossless the compression ratio is poor but distortion is not added, quality also good and both are suitable for specific applications. Such technique is discrete cosine transformation [DCT], discrete wavelet transformation [DWT] are widely used as transformation techniques in many industry standards. Doing compression for ordinary images and medical images is entirely different because in bio medical field, medical images contains useful and more important information which is used for diagnosis and must be regain at the decoding stage otherwise it causes clinically wrong diagnosis. In this paper we show how DCT, DWT and hybrid transformation is work with ordinary image and medical image using post filtering technique. It shows compression ratio before and after and contrast is enhanced by using various techniques Adaptive Histogram Equalization (AHE), Contrast Limited Adaptive Histogram Equalization (CLAHE).
DCT, DWT, HYBRID, CLAHE, AHE