Proceedings ArticleDOI
Image enhancement and dynamic range compression using novel intensity-specific stochastic resonance-based parametric image enhancement model
Rajlaxmi Chouhan,Prabir Kumar Biswas +1 more
- pp 4532-4536
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TLDR
A noise-aided image enhancement algorithm focussed on addressing images that have a large dynamic range, i.e., images with both dark and bright regions, and the application of a new mathematical model, in a shifted double-well system exhibiting stochastic resonance, is investigated.Abstract:
This paper presents a noise-aided image enhancement algorithm focussed on addressing images that have a large dynamic range, i.e., images with both dark and bright regions. The application of a new mathematical model, in a shifted double-well system exhibiting stochastic resonance, is investigated for such images. The new mathematical model addresses the shortcomings of earlier SR-based enhancement model by deriving parameters purely from input values (instead of input statistics). This model is specific to spatial domain pixel representation and operates on a revised iterative equation. This iterative processing is here applied selectively to the under-illuminated regions of the image, characterized as the De Vries-Rose (DVR) region of a human psychovisual model. The idea of suitably modifying the existing universal image quality index is also proposed for its participation in iteration termination, and to gauge the property of dynamic range compression. While the iterative algorithm is terminated using the revised image quality index, entropy maximization, and contrast quality of DVR region with constraints on perceptual quality, the performance of the proposed algorithm is also characterized by observing color enhancement and subjective scores on visual quality.read more
Citations
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Journal ArticleDOI
Enhancement of low-contrast images by internal noise-induced Fourier coefficient rooting
TL;DR: The proposed noise-enhanced iterative processing on Fourier coefficients for enhancement of low-contrast images has been found to give noteworthy performance for both low- Contrast and dark images among the SR-based techniques and is found to be better than most of the non-SR- based techniques, in terms of contrast enhancement, perceptual quality and colorfulness.
Journal ArticleDOI
Hybrid Domain Analysis of Noise-Aided Contrast Enhancement Using Stochastic Resonance
TL;DR: It can be inferred from comparative analysis with respect to other conventional methods that while the algorithm is observed to work well in all three hybrid domains, the SV-DCT domain performs better in terms of iteration count, while DCT-DWT is found to outperform others in Terms of perceptual quality.
Dissertation
Detección de objetos en entornos dinámicos para videovigilancia
López Rubio,Francisco Javier +1 more
TL;DR: Li et al. as discussed by the authors proposed a new model for real-time tracking of the human body based on the MFBM model, which can detect movimiento in camaras no estaticas.
Journal ArticleDOI
A two-stage processing approach for contrast intensified image fusion
TL;DR: A high-contrast, edge-preserved and brightness-improved image is obtained by the processing steps considered in this work to get good visual quality.
Proceedings ArticleDOI
Noise-aided dynamic range compression using selective processing in a statistics-dependent stochastic resonance model
TL;DR: It is observed that by semi-adaptively changing the processing parameters with iteration, the processed dark regions and the unprocessed bright regions of an image smoothly merge producing a quality of dynamic range compression in the image.
References
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Image quality assessment: from error visibility to structural similarity
TL;DR: In this article, a structural similarity index is proposed for image quality assessment based on the degradation of structural information, which can be applied to both subjective ratings and objective methods on a database of images compressed with JPEG and JPEG2000.
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A universal image quality index
Zhou Wang,Alan C. Bovik +1 more
TL;DR: Although the new index is mathematically defined and no human visual system model is explicitly employed, experiments on various image distortion types indicate that it performs significantly better than the widely used distortion metric mean squared error.
Journal ArticleDOI
A multiscale retinex for bridging the gap between color images and the human observation of scenes
TL;DR: This paper extends a previously designed single-scale center/surround retinex to a multiscale version that achieves simultaneous dynamic range compression/color consistency/lightness rendition and defines a method of color restoration that corrects for this deficiency at the cost of a modest dilution in color consistency.
Journal ArticleDOI
Properties and performance of a center/surround retinex
TL;DR: A practical implementation of the retinex is defined without particular concern for its validity as a model for human lightness and color perception, and the trade-off between rendition and dynamic range compression that is governed by the surround space constant is described.
Proceedings ArticleDOI
No-reference perceptual quality assessment of JPEG compressed images
TL;DR: It is shown that Peak Signal-to-Noise Ratio (PSNR), which requires the reference images, is a poor indicator of subjective quality and tuning an NR measurement model towards PSNR is not an appropriate approach in designing NR quality metrics.