The image processing handbook (3rd ed.)
The image processing handbook (3rd ed.)
Contrast enhancement using brightness preserving bi-histogram equalization
IEEE Transactions on Consumer Electronics
IEEE Transactions on Consumer Electronics
Image coding using robust quantization for noisy digital transmission
IEEE Transactions on Image Processing
Image coding using entropy-constrained residual vector quantization
IEEE Transactions on Image Processing
IEICE - Transactions on Information and Systems
A unified histogram and laplacian based for image sharpening
ISCIT'09 Proceedings of the 9th international conference on Communications and information technologies
CSECS '10 Proceedings of the 9th WSEAS international conference on Circuits, systems, electronics, control & signal processing
Multiple layers block overlapped histogram equalization for local content emphasis
Computers and Electrical Engineering
Gaussian mixture modeling of histograms for contrast enhancement
Expert Systems with Applications: An International Journal
Image contrast enhancement for preserving mean brightness without losing image features
Engineering Applications of Artificial Intelligence
Exact Histogram Specification for Digital Images Using a Variational Approach
Journal of Mathematical Imaging and Vision
Image enhancement using Exposure based Sub Image Histogram Equalization
Pattern Recognition Letters
The Visual Computer: International Journal of Computer Graphics
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A novel recursive sub-image histogram equalization (RSIHE) is developed to overcome the drawbacks of generic histogram equalization (HE) for gray scale images. Compared to some of the conventional HE methods, such as bi-histogram equalization and recursive mean-separate histogram equalization, the proposed RSIHE method yields better image compensation. The scanning electron microscope images are used as test images to evaluate the efficiency of the developed algorithm. The algorithm is implemented in software with a frame grabber card, forming the front-end video capture element.