Abstract  This paper proposed an efficient method for contras t enhancement of real world hyper spectral images. The contrast  of  image  is  an  important  characteristic  by  which  th e  quality  of  image  can  be  judged  as  good  or  poor  qu ality.  The  proposed  method is consists of two stages: In first stage th e poor quality of image is process by automatic con trast adjustment in spatial  domain  and  in  second  stage  the  output  of  first  stag e  is  further  process  by  adaptive  filtering    for  image  enhancement  in  frequency domain. Simulation and experimental resul ts on benchmark real world hyper spectral image database demonstrates  that  proposed  method  provides  better  results  as  com pared  to  other  state-of-art  contrast  enhancement  techniques.  Proposed  method  performs  better  in  different  dark  and  bright   real  world  hyper  spectral  images  by  adjusting  thei r  contrast  very  frequently.  Proposed  method  is  very  simple  and  effi cient  approach  for  contrast  enhancement  of  real  wor ld  hyper  spectral  images. This method can be used in different applic ations where images are suffering from different contrast problems. 

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[42] Zuiderveld K., Contrast Limited Adaptive Histogram Equalization , Academic Press, 1994. Shyam Lal received his BTech degree (with Hons.) in electronics and communication engineering from Bundelkhand Institute of Engineering and Technology Jhansi (U.P.), India and MTech (with Hons.) in electronics and communication engineering from National Institute o f Technology, Kurukshetra (HR.), India in year 2001 and 2007, respectively and PhD degree in engineerin g from Birla Institute of Technology, Mesra, Ranchi (JH.), India in year 2013. He worked as Associate Professor and Assistant Professor in the Department of Electronics and Communication Engineering, Moradabad Institute of Technology, Moradabad (U.P.) , India from 28 th August 2001 to 14th December 2013. Currently he is working as Assistant Professor in t he department of Electronics and Communication Engineering, National Institute of Technology Karnataka, Surathkal, Mangalore (KA), India since 17 th December 2013. ). He has more than 12 years of teaching and research experience. He has published more than 45 papers in the area of Digital Image Processing and Wireless Communication and Computing at International/National Journals and Conferences. He is Member of IEEE (Since 2011), lif e member of Indian Society of Technical Education (ISTE), New Delhi-India (LM-39989), International Association of Engineers (IAENG), Hong Kong (M.No.-103480) and Life member International Association of Computer Science and Information Technology (IACSIT), Singapore (LM- 80333445. He has been Guest Editor of International Journal of Signal and Imaging System Engineering (IJSISE), Inderscience Publishers. His area of interest inclu des digital image processing, digital signal processing and wireless communication. An Efficient Method for Contrast Enhancement of Real World Hyper Spectral Images 679 Rahul Kumar received his BTech degree in electronics and communication engineering from Uttar Pradesh Technical University year 2010. He worked as Assistant Professor in the Department of Electronics and Communication Engineering, Moradabad Institute of Technology, Moradabad (U.P.), India from August 2012 to July 2013. He is currently pursuing MTech in Signal and Image Processing from, National Institute of Technology, Rourkela, Odisha, India. He has more than 3 years of Teaching and Research experience. H is area of interest includes Digital Image Processing, Digital Signal Processing and Robotics.