scispace - formally typeset
Search or ask a question
Proceedings Article•DOI•

Wavelet-based contrast enhancement of dark images using dynamic stochastic resonance

Rajlaxmi Chouhan1, Rajib Kumar Jha2, Prabir Kumar Biswas1•
Indian Institute of Technology Kharagpur1, Indian Institutes of Information Technology2
16 Dec 2012-pp 73
TL;DR: The proposed dynamic stochastic resonance (DSR) technique has been proposed for contrast enhancement of dark and low contrast images in discrete wavelet transform (DWT) domain and is found to give noteworthy performance in terms of contrast enhancement, perceptual quality, as well as colorfulness.
Abstract: In this paper, a dynamic stochastic resonance (DSR)-based technique has been proposed for contrast enhancement of dark and low contrast images in discrete wavelet transform (DWT) domain. Traditionally, the performance of a stochastic resonance (SR)-based system is improved by addition of external noise. However, in the proposed DSR-based approach, the internal noise of an image has been utilized for the purpose of contrast enhancement. The degradation due to inadequate illumination is treated as noise, and is used to produce a noise-induced transition of the image from a low-contrast state to a high-contrast state. Stochastic resonance is induced in the approximation and detail coefficients in an iterative fashion, producing an increase in variance and mean of the coefficient distribution. Optimal output response is ensured by selection of optimal of bistable system parameters. An iterative algorithm is followed to achieve target value of performance metrics, such as relative contrast enhancement factor (F), perceptual quality measures (PQM), and color enhancement factor (CEF), at minimum iteration count. When compared with the existing SR-based and non SR-based enhancement techniques in spatial and frequency domains, the proposed technique is found to give noteworthy performance in terms of contrast enhancement, perceptual quality, as well as colorfulness.
Citations
More filters
Book Chapter•DOI•
A Systematic Review on Image Enhancement Techniques

[...]

Nishant Bhardwaj1, Gagandeep Kaur1, Pradeep Kumar Singh1•
Amity University1
01 Jan 2018
TL;DR: Understanding and reviewing the techniques used for image enhancement are the main goal of this paper, which leaves a lot of future scopes which can be extended further by researchers.
Abstract: Image enhancement is a very important process used for enhancing the quality of an image, and for this purpose, numerous techniques have been used and applied. This paper describes how to enhance an image using different techniques. Various techniques have been studied for image enhancement used in different research papers. Understanding and reviewing the techniques used for image enhancement are the main goal of this paper. Our review work leaves a lot of future scopes which can be extended further by researchers.

5 citations

Journal Article•DOI•
Hybrid Domain Analysis of Noise-Aided Contrast Enhancement Using Stochastic Resonance

[...]

Rajlaxmi Chouhan1, Rajib Kumar Jha2, Prabir Kumar Biswas3•
Indian Institute of Technology, Jodhpur1, Indian Institute of Technology Patna2, Indian Institute of Technology Kharagpur3
01 Nov 2017-Journal of Signal Processing Systems
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.
Abstract: This paper aims to present an analysis of a noise-aided contrast enhancement algorithm in hybrid transform domains. The performance of our earlier noise-enhanced iterative algorithm, formulated from the motion dynamics of a double-well system exhibiting dynamic stochastic resonance, has been investigated here on hybrid coefficients, viz. singular values (SVs) of wavelet coefficients, SVs of discrete cosine transform (DCT) coefficients, and DCT of wavelet coefficients, of a dark image. The performance of the algorithm is gauged using metrics indicating relative contrast enhancement and perceptual quality. Colorfulness, subjective visual scores and logarithmic contrast metrics for outputs are also observed. Experimental results display noteworthy enhancement of contrast on both natural and synthetically-darkened images. 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.

4 citations

Proceedings Article•DOI•
Noise-enhanced contrast stretching of dark images in SVD-DWT domain

[...]

Rajlaxmi Chouhan1, Rajib Kumar Jha2, Prabir Kumar Biswas1•
Indian Institute of Technology Kharagpur1, Indian Institute of Technology Patna2
01 Dec 2013
TL;DR: A noise-enhanced contrast stretching algorithm for enhancement of dark images in SVD-DWT domain has been presented and comparison with other SR-based and non-SR based algorithms shows noteworthy performance of the algorithm.
Abstract: A noise-enhanced contrast stretching algorithm for enhancement of dark images in SVD-DWT domain has been presented in this paper. A dark or low-contrast image is considered to be comprising a weak signal (information) and noise (due to insufficient illumination). Since singular values of an image represent luminance of independent image layers, the internal noise may be considered to be inherent in the singular values of the image, as well that of the wavelet approximation coefficients of a dark image. The singular values of the approximation coefficients are iteratively processed using the analogy of a double-well system exhibiting dynamic stochastic resonance (SR), where addition of noise is utilized to enhance system performance. Iteration is terminated with the criterion of target contrast and visual qualities. Comparison with other SR-based and non-SR based algorithms shows noteworthy performance of the algorithm in the SVD-DWT domain.

3 citations

Cites background or methods from "Wavelet-based contrast enhancement ..."

  • ...The concept of ‘stochastic resonance’, where noise is utilized to amplify a weak subthreshold signal, has particularly been found to work remarkably in contrast enhancement of dark and low-contrast images [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12]....

    [...]

  • ...Among SR-based techniques, comparison with singular-value-based DSR (SVDDSR) [9], DCT-DSR [10], DWT-DSR [11], and suprathreshold SR-based technique (SSR) [8] has been done....

    [...]

  • ...For a visual comparison among various techniques, readers are advised to refer to [9], [11], [12]....

    [...]

  • ...With respect to MOS ratings, our SVD-DWT-DSR technique ranks in top four amongst all the compared techniques for most of the test images....

    [...]

  • ...Incremental refinement may be varied by changing the value of sampling step, ∆t. Empirical values of performance metrics show that the SVDDWT-DSR technique performs comparable to conventional algorithms, and better than many enhancement algorithms which are unable to address dark images....

    [...]

Journal Article•DOI•
Balanced GHM Mutiwavelet Transform based Contrast Enhancement Technique for Dark Images using Dynamic Stochastic Resonance

[...]

S. Deivalakshmi, Ponnusamy Palanisamy, Xiao-Zhi Gao
01 Jan 2018-Intelligent Automation and Soft Computing

3 citations

Journal Article•DOI•
Development of the SR Based Auto-tuning Image Enhancement System and Evaluation of the Enhanced Image Quality using PQM

[...]

Noriko Kojima, Bikash Lamsal1, Naofumi Matsumoto, Mitsuo Yamashiro•
Kajima1
25 Apr 2019-Journal of the Institute of Industrial Applications Engineers
TL;DR: This paper presents the idea of auto-tuning of the SR iteration with random noise and threshold value 0 by using the process related to the histogram calculation, mean and median, which works properly in the dark and very low contrast images as well as bright images.
Abstract: This paper proposes the development and evaluation of an auto-tuning stochastic resonance (SR) for image enhancement on images under various illumination conditions. Perceptual Quality Metric (PQM) is used for evaluating and quantifying the image quality. The current process is developed being based on our previous works related to the image enhancement by using the manual tuning stochastic resonance. The process was performed by adding the random noise and threshold in an image. The process works properly in the dark and very low contrast images as well as bright images. This image enhancement system works on dark and bright images as well. The system was tested with the face detection algorithm on the dark and illumination variant images. In this paper, we present the idea of auto-tuning of the SR iteration with random noise and threshold value 0 by using the process related to the histogram calculation, mean and median. In this paper, we performed various experiments on object and human detection as well under different conditions and confirmed the effectiveness of our auto-tuning SR based image enhancement algorithm. Finally, we conducted experiments using Perceptual Quality Metric which is an image quality metric to apply the proposed algorithm in various fields.

1 citations

References
More filters
Journal Article•DOI•
The mechanism of stochastic resonance

[...]

Roberto Benzi, Alfonso Sutera, Angelo Vulpiani
01 Nov 1981-Journal of Physics A
TL;DR: In this paper, it was shown that a dynamical system subject to both periodic forcing and random perturbation may show a resonance (peak in the power spectrum) which is absent when either the forcing or the perturbations is absent.
Abstract: It is shown that a dynamical system subject to both periodic forcing and random perturbation may show a resonance (peak in the power spectrum) which is absent when either the forcing or the perturbation is absent.

2,774 citations

Book Chapter•DOI•
Contrast limited adaptive histogram equalization

[...]

Karel J. Zuiderveld1•
Utrecht University1
01 Aug 1994-Graphics gems

2,671 citations

Journal Article•DOI•
A multiscale retinex for bridging the gap between color images and the human observation of scenes

[...]

D.J. Jobson1, Zia-ur Rahman2, G.A. Woodell1•
Langley Research Center1, College of William & Mary2
01 Jul 1997-IEEE Transactions on Image Processing
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.
Abstract: Direct observation and recorded color images of the same scenes are often strikingly different because human visual perception computes the conscious representation with vivid color and detail in shadows, and with resistance to spectral shifts in the scene illuminant. A computation for color images that approaches fidelity to scene observation must combine dynamic range compression, color consistency-a computational analog for human vision color constancy-and color and lightness tonal rendition. In this paper, we extend a previously designed single-scale center/surround retinex to a multiscale version that achieves simultaneous dynamic range compression/color consistency/lightness rendition. This extension fails to produce good color rendition for a class of images that contain violations of the gray-world assumption implicit to the theoretical foundation of the retinex. Therefore, we define a method of color restoration that corrects for this deficiency at the cost of a modest dilution in color consistency. Extensive testing of the multiscale retinex with color restoration on several test scenes and over a hundred images did not reveal any pathological behaviour.

2,395 citations

"Wavelet-based contrast enhancement ..." refers methods in this paper

  • ...Comparative analysis with non-SR-based techniques, like contrast-limited adaptive histogram equalization (CLAHE) [24], gamma correction (Gamma), single-scale retinex (Retinex) [9], multi-scale retinex (MSR) [8], and modi.ed high­pass .ltering (MHPF) [21] has been performed....

    [...]

  • ...Comparative analysis with non-SR-based techniques, like contrast-limited adaptive histogram equalization (CLAHE) [24], gamma correction (Gamma), single-scale retinex (Retinex) [9], multi-scale retinex (MSR) [8], and modified highpass filtering (MHPF) [21] has been performed....

    [...]

  • ...4(a) Method F PQM CEF F PQM CEF F PQM CEF DWT-DSR 3.0 10.0 3.1 2.5 10.0 2.7 5.3 8.95 5.75 SVD-DSR 5.8 9.4 1.3 3.1 9.7 3.1 5.23 8.40 4.62 SSR 2.2 9.5 6.5 6.1 8.9 5.1 2.51 7.95 6.00 CLAHE 1.9 10.8 0.5 2.2 10.5 1.3 1.98 7.85 2.73 Photoshop 5.4 8.5 1.3 2.1 11.0 1.3 4.69 8.69 4.75 Gamma 9.5 8.5 11.5 1.2 10.9 1.5 5.92 6.92 5.01 Retinex 7.8 8.2 7.1 0.1 12.4 0.2 4.78 6.96 8.37 MSR 1.8 9.5 7.1 0.4 11.7 0.7 1.68 7.18 2.77 MHPF 8.4 8.2 16.8 0.6 11.7 0.8 5.02 9.01 7.21 MCE 1.0 12.2 0.2 1.1 8.8 1.0 1.18 8.77 0.96 MCE-DRC 0.7 11.9 0.2 0.9 11.1 1.0 0.97 9.01 7.21 CES 1.2 11.3 0.3 0.9 10.3 1.5 1.13 8.32 1.58 contrast enhancement of dark images using non-dynamic stochastic resonance....

    [...]

Journal Article•DOI•
Properties and performance of a center/surround retinex

[...]

D.J. Jobson1, Zia-ur Rahman1, G.A. Woodell1•
Langley Research Center1
01 Mar 1997-IEEE Transactions on Image Processing
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.
Abstract: The last version of Land's (1986) retinex model for human vision's lightness and color constancy has been implemented and tested in image processing experiments. Previous research has established the mathematical foundations of Land's retinex but has not subjected his lightness theory to extensive image processing experiments. We have sought to define a practical implementation of the retinex without particular concern for its validity as a model for human lightness and color perception. We describe the trade-off between rendition and dynamic range compression that is governed by the surround space constant. Further, unlike previous results, we find that the placement of the logarithmic function is important and produces best results when placed after the surround formation. Also unlike previous results, we find the best rendition for a "canonical" gain/offset applied after the retinex operation. Various functional forms for the retinex surround are evaluated, and a Gaussian form is found to perform better than the inverse square suggested by Land. Images that violate the gray world assumptions (implicit to this retinex) are investigated to provide insight into cases where this retinex fails to produce a good rendition.

1,674 citations

"Wavelet-based contrast enhancement ..." refers background or methods in this paper

  • ...Comparative analysis with non-SR-based techniques, like contrast-limited adaptive histogram equalization (CLAHE) [24], gamma correction (Gamma), single-scale retinex (Retinex) [9], multi-scale retinex (MSR) [8], and modified highpass filtering (MHPF) [21] has been performed....

    [...]

  • ...Many techniques for contrast enhancement that operate in spatial domain exist in literature [10], [3], [9], [20]....

    [...]

Proceedings Article•DOI•
No-reference perceptual quality assessment of JPEG compressed images

[...]

Zhou Wang, Hamid R. Sheikh, Alan C. Bovik
10 Dec 2002
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.
Abstract: Human observers can easily assess the quality of a distorted image without examining the original image as a reference. By contrast, designing objective No-Reference (NR) quality measurement algorithms is a very difficult task. Currently, NR quality assessment is feasible only when prior knowledge about the types of image distortion is available. This research aims to develop NR quality measurement algorithms for JPEG compressed images. First, we established a JPEG image database and subjective experiments were conducted on the database. We show that Peak Signal-to-Noise Ratio (PSNR), which requires the reference images, is a poor indicator of subjective quality. Therefore, tuning an NR measurement model towards PSNR is not an appropriate approach in designing NR quality metrics. Furthermore, we propose a computational and memory efficient NR quality assessment model for JPEG images. Subjective test results are used to train the model, which achieves good quality prediction performance.

913 citations

"Wavelet-based contrast enhancement ..." refers methods in this paper

  • ...Here, perceptual quality is calculated from a model [19] taking into account the activity, blurriness and blockiness of an image....

    [...]

  • ...For evaluation of perceptual quality, we have used a no-reference metric for judging the image quality which we shall refer to as perceptual quality metric (PQM ) [19, 11], where for good perceptual quality, PQM should be close to 10....

    [...]

Related Papers (5)
No-reference perceptual quality assessment of JPEG compressed images

[...]

10 Dec 2002
Zhou Wang, Hamid R. Sheikh, Alan C. Bovik
Enhancement of Color Images by Scaling the DCT Coefficients

[...]

01 Oct 2008-IEEE Transactions on Image Processing
Jayanta Mukherjee, Sanjit K. Mitra
Magnetic resonance image enhancement using stochastic resonance in Fourier domain

[...]

01 Nov 2010-Magnetic Resonance Imaging
V. P. Subramanyam Rallabandi, Prasun Kumar Roy
A multiscale retinex for bridging the gap between color images and the human observation of scenes

[...]

01 Jul 1997-IEEE Transactions on Image Processing
D.J. Jobson, Zia-ur Rahman, G.A. Woodell
Enhancement of dark and low-contrast images using dynamic stochastic resonance

[...]

06 Jun 2013-Iet Image Processing
Rajlaxmi Chouhan, Rajib Kumar Jha, Prabir Kumar Biswas