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MAHESHWARA INSTITUTE OF
                      TECHNOLOGY


AN AUTOMATIC WAVELET BASED NONLINEAR
  IMAGE
ENHANCEMENT TECHNIQUE FOR AERIAL IMAGERY


BY
A.MANISH DUTT(09591A0408)
K.SANJAY(09591A0449)
ELECTRONICS AND COMMUNICATION ENGINEERING
AIM:
       TO ENHANCE AN AERIAL IMAGE
       USING AN AUTOMATIC WAVELET
       BASED ON NONLINEAR IMAGE
       ENHANCEMENT TECHNIQUE
INTRODUCTION
 Aerial images captured from aircrafts,
 spacecrafts, or satellites usually suffer from lack of
 clarity, since the atmosphere enclosing Earth has
 effects upon the images such as turbidity caused
 by haze, fog, clouds or heavy rain.
 The visibility of such aerial images may decrease
 drastically and sometimes the conditions at which
 the images are taken may only lead to near zero
 visibility even for the human eyes.
 Even though human observers may not see much
 than smoke, there may exist useful information in
 those images taken under such poor conditions.
BACKGROUND
 CAPTURED IMAGES ARE NOT THE SAME AS WHAT
  WE SEE IN A REAL WORLD SCENE AND ARE
  GENERALLY A POOR RENDITION OF IT.
 TO DEAL WITH THE PROBLEMS CAUSED BY THE
  LIMITED DYNAMIC RANGE OF THE IMAGING
  DEVICES,MANY IMAGE PROCESSING
  ALGORITHMS HAVE BEEN DEVELOPED.
 THESE ALGORITHMS ALSO PROVIDE CONTRAST
  ENHANCEMENT TO SOME EXTENT.
PROPOSED METHEDOLOGY
 Recently we have developed a wavelet-based dynamic
  range compression (WDRC) algorithm to improve the
  visual quality of digital images of high dynamic range
  scenes with non-uniform lighting conditions
 The WDRC algorithm is modified by introducing an
  histogram adjustment and non-linear color restoration
  process so that it provides color constancy and deals
  with “pathological” scenes having very strong spectral
  characteristics in a single band
 The fast image enhancement algorithm which provides
  dynamic range compression preserving the local
  contrast and tonal rendition is a very good candidate in
  aerial imagery applications such as image interpretation
  for defense and security tasks.
APPLICATIONS
 TO IMPROVE THE VISUAL QUALITY OF DIGITAL
IMAGES.

 IMAGE INTERPRETATION FOR DEFENCE AND
SECURITY TASKS.

 APPLIED TO REAL TIME VIDEO STREAMING AND
ENHANCED VIDEO CAN BE PROJECTED TO THE
PILOTS HEADS UP DISPLAY FOR AVIATION SAFETY.

 FOR STRONG ROBUSTNESS AND HIGH IMAGE
QUALITY.
THANK YOU

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an automativ

  • 1. MAHESHWARA INSTITUTE OF TECHNOLOGY AN AUTOMATIC WAVELET BASED NONLINEAR IMAGE ENHANCEMENT TECHNIQUE FOR AERIAL IMAGERY BY A.MANISH DUTT(09591A0408) K.SANJAY(09591A0449) ELECTRONICS AND COMMUNICATION ENGINEERING
  • 2. AIM: TO ENHANCE AN AERIAL IMAGE USING AN AUTOMATIC WAVELET BASED ON NONLINEAR IMAGE ENHANCEMENT TECHNIQUE
  • 3. INTRODUCTION  Aerial images captured from aircrafts, spacecrafts, or satellites usually suffer from lack of clarity, since the atmosphere enclosing Earth has effects upon the images such as turbidity caused by haze, fog, clouds or heavy rain.  The visibility of such aerial images may decrease drastically and sometimes the conditions at which the images are taken may only lead to near zero visibility even for the human eyes.  Even though human observers may not see much than smoke, there may exist useful information in those images taken under such poor conditions.
  • 4. BACKGROUND  CAPTURED IMAGES ARE NOT THE SAME AS WHAT WE SEE IN A REAL WORLD SCENE AND ARE GENERALLY A POOR RENDITION OF IT.  TO DEAL WITH THE PROBLEMS CAUSED BY THE LIMITED DYNAMIC RANGE OF THE IMAGING DEVICES,MANY IMAGE PROCESSING ALGORITHMS HAVE BEEN DEVELOPED.  THESE ALGORITHMS ALSO PROVIDE CONTRAST ENHANCEMENT TO SOME EXTENT.
  • 5. PROPOSED METHEDOLOGY  Recently we have developed a wavelet-based dynamic range compression (WDRC) algorithm to improve the visual quality of digital images of high dynamic range scenes with non-uniform lighting conditions  The WDRC algorithm is modified by introducing an histogram adjustment and non-linear color restoration process so that it provides color constancy and deals with “pathological” scenes having very strong spectral characteristics in a single band  The fast image enhancement algorithm which provides dynamic range compression preserving the local contrast and tonal rendition is a very good candidate in aerial imagery applications such as image interpretation for defense and security tasks.
  • 6. APPLICATIONS  TO IMPROVE THE VISUAL QUALITY OF DIGITAL IMAGES.  IMAGE INTERPRETATION FOR DEFENCE AND SECURITY TASKS.  APPLIED TO REAL TIME VIDEO STREAMING AND ENHANCED VIDEO CAN BE PROJECTED TO THE PILOTS HEADS UP DISPLAY FOR AVIATION SAFETY.  FOR STRONG ROBUSTNESS AND HIGH IMAGE QUALITY.
  • 7.