Quality, Reliability, Security and Robustness in Heterogeneous Networks. 9th International Conference, QShine 2013, Greader Noida, India, January 11-12, 2013, Revised Selected Papers

Research Article

An Improved Method for Contrast Enhancement of Real World Hyperspectral Images

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  • @INPROCEEDINGS{10.1007/978-3-642-37949-9_23,
        author={Shyam Lal and Rahul Kumar and Mahesh Chandra},
        title={An Improved Method for Contrast Enhancement of Real World Hyperspectral Images},
        proceedings={Quality, Reliability, Security and Robustness in Heterogeneous Networks. 9th International Conference, QShine 2013, Greader Noida, India, January 11-12, 2013, Revised Selected Papers},
        proceedings_a={QSHINE},
        year={2013},
        month={7},
        keywords={Adaptive Histogram Equalization real world hyperspectral image Image processing Contrast Enhancement},
        doi={10.1007/978-3-642-37949-9_23}
    }
    
  • Shyam Lal
    Rahul Kumar
    Mahesh Chandra
    Year: 2013
    An Improved Method for Contrast Enhancement of Real World Hyperspectral Images
    QSHINE
    Springer
    DOI: 10.1007/978-3-642-37949-9_23
Shyam Lal1,*, Rahul Kumar1,*, Mahesh Chandra2,*
  • 1: Moradabad Institute of Technology
  • 2: Birla Institute of Technology
*Contact email: shyam.mtec@gmail.com, rrkmalik@gmail.com, shrotriya@bitmesra.ac.in

Abstract

This paper proposed an improved method for contrast enhancement of real world hyperspectral images The proposed method consists of two stages: In first stage the poor quality of image is processed by adaptive histogram equalization in spatial domain and in second stage the output of first stage is further processed by adaptive filtering for image enhancement in frequency domain. Simulation and experimental results on benchmark real world hyperspectral image database demonstrates that proposed method provides better results as compared to other state-of-art contrast enhancement techniques such as alpha rooting (AR), multi contrast enhancement (MCE), multi-contrast enhancement with dynamic range compression (MCEDRC), brightness preserving dynamic fuzzy histogram equalization (BPDFHE). Proposed method performs better for different dark and bright real world hyperspectral images by adjusting their contrast very frequently. Proposed method is simple and efficient approach for contrast enhancement of real world hyperspectral images. This method can be used in different applications where images are suffering from various contrast problems.