A Survey of Digital Image Visual Quality Enhancement using Histogram Equalization Technique

  Khushboo Singh,  Dr Anubhuti Khare

Image improvement is one among the difficult issues in low visual quality and low level image method. Image improvement completely different methods like histogram leveling, multipoint histogram equalizations and picture component dependent distinction protecting, but of this technique are not up to marks. Projected linear perception network methodology (PLPNM) for image improvement that features a additional strong result for distinction improvement with brightness preservation. Image element mutuality linear perceptron network supported curvelet transform and perceptron network. Curvelet transform image transform into multi-resolution mode. it's a realize element distinction of pixel for the dependency of characteristic and matrix work as a weight vector for perceptron network and so the perceptron network is in work to alter the load of input image or values. Image mutuality linear perceptron network for distinction improvement has applied on several pictures and compared the results of our projected methodology with various image improvement methods like histogram leveling. Absolute mean brightness error (AMBE) is used to measure the degree of brightness preservation. Smaller AMBE is best and Peak signal to noise quantitative relation (PSNR) is employed to measure the degree of distinction improvement, larger PSNR is best. By examination image secure coding improvement technique victimization histogram leveling with PLPNM supported the AMBE and PSNR. Image secure cryptography improvement have found that planned methodology (PLPNM) is best than existing methodology (HE).

Keywords- Contrast enhancement, Histogram, Histogram equalization, brightness preserving, AMBE, PSNR

Unique Identification Number - IJEDR2001048
Page Number(s) - 251-255
Pubished in - Volume 8 | Issue 1 | January 2020
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Khushboo Singh,  Dr Anubhuti Khare,   "A Survey of Digital Image Visual Quality Enhancement using Histogram Equalization Technique", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.8, Issue 1, pp.251-255, January 2020, Available at :http://www.ijedr.org/papers/IJEDR2001048.pdf