Local and Global Contrast Stretching For Color Contrast Enhancement on Ziehl-Neelsen Tissue Section Slide Images

The enhancement techniques are employed in order to increase the contrast of an image. Generally, an image can be enhanced by spreading out the range of scene illumination. This procedure is called contrast stretching. Contrast stretching (often called normalization) is a simple image enhancement technique that attempts to improve the contrast in an image by ‘stretching’ the range of intensity values it contains to span a desired range of values, the full range of pixel values that the image type concerned allows. Contrast stretching changes the distribution and range of the digital numbers assigned to each pixel in an image. This is normally done to accent image details that may be difficult for the human viewer to observe. Our main goal in this paper is to apply a contrast enhancement technique to recover an image from blurred images, also improve image quality of it. Our technique consists of two steps, locally contrast stretching step and globally contrast stretching step to enhance Ziehl-Neelsen tissue section slide images.

[1]  Irfan Altas,et al.  A variational approach to the radiometric enhancement of digital imagery , 1995, IEEE Trans. Image Process..

[2]  Perry Sprawls Digital Blurred-Mask Subtraction Enhancement Of Radiologic Images , 1981, Other Conferences.

[3]  Kunio Doi,et al.  Development Of A New Digital Radiographic Image Processing System , 1982, Other Conferences.

[4]  Jong-Sen Lee,et al.  Digital Image Enhancement and Noise Filtering by Use of Local Statistics , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[5]  J A Sorenson,et al.  Unsharp masking in chest radiography. , 1981, Investigative Radiology.

[6]  Jong-Sen Lee,et al.  Refined filtering of image noise using local statistics , 1981 .

[7]  Patrenahalli M. Narendra,et al.  Real-Time Adaptive Contrast Enhancement , 1981, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8]  J A Sorenson,et al.  Clinical evaluation of unsharp masking and slit scanning techniques in chest radiography. , 1983, Radiology.

[9]  J A Sorenson,et al.  Photographic unsharp masking in chest radiography. , 1981, Investigative radiology.

[10]  K. Preston,et al.  Evaluation of digital unsharp masking and local contrast stretching as applied to chest radiographs , 1988, IEEE Transactions on Biomedical Engineering.

[11]  A. R. Gourlay,et al.  Digital processing of chest radiographs , 1983, Image Vis. Comput..

[12]  H C Andrews,et al.  Monochrome digital image enhancement. , 1976, Applied optics.

[13]  Ernest L. Hall,et al.  Computer Image Processing and Recognition , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[14]  W A Kalender,et al.  Digital scanned projection radiography: optimization of image characteristics. , 1983, Radiology.