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- Title
Image resolution and contrast enhancement with optimal brightness compensation using wavelet transforms and particle swarm optimization.
- Authors
Tirumani, V Hyma Lakshmi; Tenneti, Madhu; K, Ch. Srikavya; Kotamraju, Sarat Kumar
- Abstract
Improving the image resolution and contrast along with uniform brightness distribution over the entire image helps to retrieve the vital realistic information necessary for human perception and interpretation. A new procedure to improve these parameters is implemented and tested. Initially, the image is super resolute using discrete wavelet transform (DWT), stationary wavelet transform (SWT) image decomposition and bicubic interpolation. The resolute image is used for contrast enhancement by using SWT and contrast limited adaptive histogram equalization (CLAHE) approach. The optimized brightness compensation technique, which uses particle swarm optimization (PSO), is applied to the resolution and contrast‐enhanced image to obtain uniform brightness distribution over the entire image. The proposed approach is tested on three data sets of images and it is found that the visual results, as well as the resolution and contrast levels of the tested images, are significantly superior to subjective and objective results.
- Subjects
OPTICAL resolution; IMAGE processing; IMAGING systems; WAVELET transforms; PARTICLE swarm optimization
- Publication
IET Image Processing (Wiley-Blackwell), 2021, Vol 15, Issue 12, p2833
- ISSN
1751-9659
- Publication type
Article
- DOI
10.1049/ipr2.12268