Contrast enhancement processes adjust the relative brightness and darkness of objects in the scene to improve their visibility. The contrast and tone of the image can be changed by mapping the gray levels in the image to new values through a gray-level transform.

The purpose of the image enhancement is to improve the visual interpretability of an image by increasing the apparent distinction between the features in the scene.

Local contrast enhancement attempts to increase the appearance of large-scale light-dark transitions, similar to how sharpening with an “Unsharp mask” increases the appearance of small-scale edges.

Image enhancement is the process of adjusting digital images so that the results are more suitable for display or further image analysis. For example, you can remove noise, sharpen, or brighten an image, making it easier to identify key features.

Contrast enhancement is a ubiquitous term in radiology and can be used in three ways. Firstly, it may refer to any method of exaggerating the visible difference between adjacent structures on imaging by administering contrast media/agents. A third use of the term contrast enhancement is in image post-processing.

However, contrast enhancement is used to evaluate suspected or known exudative effusions and empyema. It also aids the evaluation of metastatic or primary malignancy of the pleura, particularly in cases of occult disease, as enhancement and thickening of the pleura are of diagnostic interest.

The contrast enhancement technique plays a vital role in image processing to bring out the information that exists within low dynamic range of that gray level image. To improve the quality of an image, it required to perform the operations like contrast enhancement and reduction or removal of noise.

Local Enhancement essentially takes into consideration the local properties of the image by moving a window/mask throughout. the image from pixel to pixel. The histogram of the points in the window is calculated and then a histogram equilization transfer.

Local contrast refers to contrast adjustments between smaller areas of the scene, and can be adjusted with the clarity slider. Move the image slider below to see the difference between the two.

Image enhancement is the procedure of improving the quality and information content of original data before processing. Common practices include contrast enhancement, spatial filtering, density slicing, and FCC.

Image enhancement is the procedure of improving the quality and information content of original data before processing. Common practices include contrast enhancement, spatial filtering, density slicing, and FCC. Spatial filtering improves the naturally occurring linear features like fault, shear zones, and lineaments.