Image Enhancement Filter

  • Alok Nath JhaEmail author
  • Siddarth Pratap Singh
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 103)


Digital image processing begins with the acquisition of image which is a start point for further analysis. Whenever an imaging camera takes a picture of some object, more often than not, that particular picture is unusable for the intended purposes directly. Noise in an image is a common phenomenon and is affecting the quality of the image hugely as there is significant amount of deviation in the concentration of pixels of the image. Disturbances and variation in image intensity largely contribute to noising in these images. Image filters are very useful in emphasizing edges or the boundaries between objects or parts of objects in images. Filters provide greater support in the visual interpretation of images. This paper reviews types of noises present in images. It also discusses ways for reducing the quantity of noise and thereby increasing the quality of an image. This paper discusses various filtering techniques and finally how to jointly remove Gaussian and salt-and-pepper noise.


Filters Gaussian filters Salt-and-pepper noise Quality 


  1. 1.
    Malini S, Moni RS (2015) Image de-noising using multiresolution analysis and nonlinear filtering. In: 2015 international conference on advances in computing and communications, Kochi, pp 388–390Google Scholar
  2. 2.
    Dhruv B, Mittal N, Modi M (2017) Analysis of different filters for noise reduction in images. In: 2017 recent developments in control, automation & power engineering, Noida, pp 410–415Google Scholar
  3. 3.
  4. 4.
    Tasnim T, Shuvo MMH, Hasan S (2017) Study of speckle noise reduction from ultrasound b-mode images using different filtering techniques. In: 2017 4th international conference on advances in electrical engineering, Dhaka, pp 229–234Google Scholar
  5. 5.
  6. 6.
    Podder P, Hasan MM (2016) A meta study of reduction of speckle noise adopting different filtering techniques. In: 2016 3rd international conference on electrical engineering and information communication technology (ICEEICT), Dhaka, pp 1–6Google Scholar
  7. 7.
    Panda CS, Patnaik S (2009) Filtering and performance evaluation for restoration of grayscale image corrupted by salt & pepper noise using low pass filtering schemes. In: 2009 second international conference on emerging trends in engineering and technology, ICETET, Nagpur, pp 940–945Google Scholar
  8. 8.
    Madhura J, Babu DRR (2017) An effective hybrid filter for the removal of gaussian-impulsive noise in computed tomography images. In: 2017 international conference on advances in computing, communications and informatics (ICACCI), Karnataka, pp 1815–1820Google Scholar
  9. 9.
    Arora G, Dubey AK, Jaffery ZA (2018) Design of Dmey Wavelet Gaussian Filter (DWGF) for de-noising of skin lesion images. In: 2018 international conference on smart innovations in communications and computational sciences, Indore, pp 475–484Google Scholar

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© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Amity Institute of Information TechnologyAmity UniversityNoidaIndia

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