Resource efficient c-clahe and comparision with other image enhancement algorithms (Record no. 237080)

MARC details
000 -LEADER
fixed length control field 01368nam a2200121Ia 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 231221s9999 xx 000 0 und d
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Vaishnavi Deshpande.
245 #0 - TITLE STATEMENT
Title Resource efficient c-clahe and comparision with other image enhancement algorithms
Remainder of title Sumanth Sakkara.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2018-2019
Name of publisher, distributor, etc. PES University
Place of publication, distribution, etc. Bengaluru
510 ## - CITATION/REFERENCES NOTE
Name of source Contextual Contrast Limited Adaptive Histogram Equalization (C-CLAHE) is an effective method for solving the noise amplification effect of the adaptive histogram equalization (AHE), and enhancing the visibility of local details of an image. Even though C-CLAHE has a smaller memory foot print than CLAHE, complexity of the interpolation process increases the computation demand dramatically. Therefore, FPGA based implementations have been limited to CLAHE only. In this study three key modifications were introduced to the CCLAHE, and for the first time make it feasible to implement on a resource limited FPGA. Here restructured the method so that the histogram redistribution stage is realized with fewer number of iterations. Then implemented contrast limitation calculations earlier during the histogram generation stage instead of during the histogram redistribution stage, which reduces the block RAM demand and finally mathematically derive an alternative interpolation calculation u
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Compact Disks
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26/01/2024   CD7207 26/01/2024 Compact Disks       Central Library Central Library   EC/PG RS 1  

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