A new approach for image enhancement applied to low-contrast-low-illumination IC and document images
Pattern Recognition Letters
A Neuro-Fuzzy Approach for Compensating Color Backlight Images
Neural Processing Letters
Computers in Biology and Medicine
A Platform Implementation for Real Time Image Processing
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Intensity surface stretching technique for contrast enhancement of digital photography
Multidimensional Systems and Signal Processing
EURASIP Journal on Audio, Speech, and Music Processing
A novel illumination-balance technique for improving the quality of degraded text-photo images
IEEE Transactions on Circuits and Systems for Video Technology
A histogram modification framework and its application for image contrast enhancement
IEEE Transactions on Image Processing
License plate location algorithm in complex scene
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Local adaptive tone mapping with composite multiple gamma functions
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
An image contrast enhancement method based on genetic algorithm
Pattern Recognition Letters
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
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
A new non-symmetry and anti-packing model and its application to image contrast enhancement
Computers and Electrical Engineering
Visual impact enhancement via image histogram smoothing and continuous intensity relocation
Computers and Electrical Engineering
Novel mean-shift based histogram equalization using textured regions
Expert Systems with Applications: An International Journal
Image contrast enhancement based on block-wise intensity-pair distribution with two expansion forces
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
Efficient illumination compensation techniques for text images
Digital Signal Processing
Separability oriented preprocessing for illumination-insensitive face recognition
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
A comparative study on illumination preprocessing in face recognition
Pattern Recognition
Optimized contrast enhancement for real-time image and video dehazing
Journal of Visual Communication and Image Representation
Image contrast enhancement for preserving mean brightness without losing image features
Engineering Applications of Artificial Intelligence
Iterative thresholding based partially overlapped sub-block bi-histogram equalization
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
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An advanced histogram-equalization algorithm for contrast enhancement is presented. Histogram equalization is the most popular algorithm for contrast enhancement due to its effectiveness and simplicity. It can be classified into two branches according to the transformation function used: global or local. Global histogram equalization is simple and fast, but its contrast-enhancement power is relatively low. Local histogram equalization, on the other hand, can enhance overall contrast more effectively, but the complexity of computation required is very high due to its fully overlapped sub-blocks. In this paper, a low-pass filter-type mask is used to get a nonoverlapped sub-block histogram-equalization function to produce the high contrast associated with local histogram equalization but with the simplicity of global histogram equalization. This mask also eliminates the blocking effect of nonoverlapped sub-block histogram-equalization. The low-pass filter-type mask is realized by partially overlapped sub-block histogram-equalization (POSHE). With the proposed method, since the sub-blocks are much less overlapped, the computation overhead is reduced by a factor of about 100 compared to that of local histogram equalization while still achieving high contrast. The proposed algorithm can be used for commercial purposes where high efficiency is required, such as camcorders, closed-circuit cameras, etc