Appropriate Contrast Enhancement Measures for Brain and Breast Cancer Images

Medical imaging systems often produce images that require enhancement, such as improving the image contrast as they are poor in contrast. Therefore, they must be enhanced before they are examined by medical professionals. This is necessary for proper diagnosis and subsequent treatment. We do have various enhancement algorithms which enhance the medical images to different extents. We also have various quantitative metrics or measures which evaluate the quality of an image. This paper suggests the most appropriate measures for two of the medical images, namely, brain cancer images and breast cancer images.

[1]  Sos S. Agaian,et al.  Human visual system based mammogram enhancement and analysis , 2010, 2010 2nd International Conference on Image Processing Theory, Tools and Applications.

[2]  Sos S. Agaian,et al.  Choosing the Optimal Spatial Domain Measure of Enhancement for Mammogram Images , 2014, Int. J. Biomed. Imaging.

[3]  Sos S. Agaian,et al.  Transform Coefficient Histogram-Based Image Enhancement Algorithms Using Contrast Entropy , 2007, IEEE Transactions on Image Processing.

[4]  Sos S. Agaian,et al.  Nonlinear Unsharp Masking for Mammogram Enhancement , 2011, IEEE Transactions on Information Technology in Biomedicine.

[5]  Jason Sheng-Hong Tsai,et al.  Enlargement and reduction of image/video via discrete cosine transform pair, part 2: reduction , 2007, J. Electronic Imaging.

[6]  L JayaV.,et al.  IEM: A New Image Enhancement Metric for Contrast and Sharpness Measurements , 2013 .

[7]  Boualem Boashash,et al.  Image fusion-based contrast enhancement , 2012, EURASIP Journal on Image and Video Processing.

[8]  Sos S. Agaian,et al.  Human Visual System-Based Image Enhancement and Logarithmic Contrast Measure , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).