Enhancement of Mammographic Images in the DCT Compressed Domain

Breast cancer is one of the most important disease found in women globally. The main intention is to cure breast cancer by early diagnosis, which is possible only if the doctors understand the problem at early stage and carry out necessary treatment for the same. The x-ray of the breast is taken in order to visualise the cancerous cell, and thus the mammogram image taken may often consist of noise, poor luminance and lack of contrast which need to be enhanced. Therefore, in this paper a particular case of enhancement is performed which is enhancement of mammographic images directly in the DCT compressed domain so that the cost of repeated use of decompression and recompression is avoided. The proposed method is tested on MIAS dataset and the quality of the image is measured using the following state of art metrics i.e., MSE, PSNR and SSIM. The values of these performance metric is compared with the values in spatial domain and computation cost of both the domain is compared.