Image enhancement using singular value decomposition

Sugamya, Katta; Pabboju, Suresh; Vinayababu, A.

doi:10.1109/rains.2016.7764388

Cited by 3 publications

(1 citation statement)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Satellite image enhancement using single value decomposition was proposed in [8], the image was first equalized using GHE and simultaneously decomposed into four sub-bands using DWT, the equalized image was later decomposed also. The singular value matrix was estimated for the two LL sub-bands (the equalized and non-equalized and the SVD values are used to calculate the new LL sub -band, this new LL is added to the equalized high frequency components and the inverse is taken to reconstruct the enhanced image.…”

Section: Related Workmentioning

confidence: 99%

LWT-CLAHE Based Color Image Enhancement Technique: An Improved Design

Momoh

2020

ComEngApp

View full text Add to dashboard Cite

Color image enhancement is one of important process and actually a vital precursory stage to other stages in the field of digital image processing. This is due to the fact that the effectiveness of processes in this stage on the output determines the success of other stages for a quality overall performance. This paper presents a color image enhancement technique using lifting wavelet transform (LWT) and contrast limited adaptive histogram equalization (CLAHE) to overcome the issue of noise amplification, over and under-enhancement in exiting enhancement techniques. Test images from Computer Vision Database were used for the proposed technique and the performance was evaluated using PSNR and SSIM. Result obtained shows an average improvement of 56.4% and 20.98% in terms of PSNR and SSIM respectively.

show abstract

Section: Related Workmentioning

confidence: 99%