Abstract:
In the traditional algorithm, two steps are needed to construct a mapping function from an original histogram to an arbitrarily specified histogram. One of the problems o...Show MoreMetadata
Abstract:
In the traditional algorithm, two steps are needed to construct a mapping function from an original histogram to an arbitrarily specified histogram. One of the problems observed with the traditional histogram specification technique is the contouring effect in the general image. A one-step histogram specification method is presented to overcome some weaknesses of the traditional method. First, the cause of the contouring effect in the traditional two-step histogram transformation method is analyzed. Then, the one-step histogram specification algorithm is developed to avoid this problem. From the analysis and experiment results, it can be seen that the proposed one-step histogram specification has reduced the contouring effect which was caused by the traditional two-step method. The advantage of the presented approach is to minimize the local errors between the desired histogram and the resulting histogram.<>
Published in: Conference Proceedings 1991 IEEE International Conference on Systems, Man, and Cybernetics
Date of Conference: 13-16 October 1991
Date Added to IEEE Xplore: 06 August 2002
Print ISBN:0-7803-0233-8
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Direct Function ,
- Uniform Distribution ,
- Grayscale ,
- Digital Images ,
- Probability Density ,
- Probability Density Function ,
- Two-step Method ,
- One-step Method ,
- Image Enhancement ,
- Image Level ,
- Image Histogram ,
- Histogram Equalization ,
- Discrete Case ,
- Original Scan ,
- Histogram Matching ,
- Gray Distribution ,
- Gray-level Distribution
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Direct Function ,
- Uniform Distribution ,
- Grayscale ,
- Digital Images ,
- Probability Density ,
- Probability Density Function ,
- Two-step Method ,
- One-step Method ,
- Image Enhancement ,
- Image Level ,
- Image Histogram ,
- Histogram Equalization ,
- Discrete Case ,
- Original Scan ,
- Histogram Matching ,
- Gray Distribution ,
- Gray-level Distribution