A fast algorithm for local minimum and maximum filters on rectangular and octagonal kernels
Pattern Recognition Letters
Shape preserving local contrast enhancement
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Efficient morphological reconstruction: a downhill filter
Pattern Recognition Letters
Morphological Erosions and Openings: Fast Algorithms Based on Anchors
Journal of Mathematical Imaging and Vision
Contrast enhancement of images using human contrast sensitivity
APGV '06 Proceedings of the 3rd symposium on Applied perception in graphics and visualization
FPGA implementation of the curve generator algorithm for H/W acceleration applications
WSEAS Transactions on Circuits and Systems
Selective encryption techniques of JPEG2000 codestream for medical images transmission
WSEAS Transactions on Circuits and Systems
Pulse density recurrent neural network systems with learning capability using FPGA
WSEAS Transactions on Circuits and Systems
Designing mathematical morphology algorithms on FPGAs: an application to image processing
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
Greedy algorithm for local contrast enhancement of images
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Fast computation of a class of running filters
IEEE Transactions on Signal Processing
Adaptive image contrast enhancement using generalizations of histogram equalization
IEEE Transactions on Image Processing
Correction of Simple Contrast Loss in Color Images
IEEE Transactions on Image Processing
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The paper presents a novel algorithm for the computation of the image decomposition using a morphological filter with reconstruction The target applications are image contrast enhancement especially those with high dynamic content. Both bright and dark regions contrast enhancement were considered. A new hardware efficient implementation of decomposition is presented. Following decomposition in 5 levels of detail a local contrast enhancement is performed. The new reconstruction algorithm and its hardware implementation as proposed is shown to be independent on structural element size and that it results in a predictable time frame operation. A mixed schematic and VHDL/Verilog description of the decomposition filters was synthesized and results show far higher speed performance compared with solutions found in recent literature. The FPGA implementation had as main objective real time operation. The performance of the architecture was found to exceed real time conditions of operation and fit into medium size FPGA. A test sample image was used for contrast enhancement schemes validation. The white areas local contrast was enhanced expanding the gray scale for the detail levels after a parabolic series. The scale warping in the white areas resulted in contrast enhancement while the dark areas did not.