Automatic Image Equalization and Contrast Enhancement Using Gaussian Mixture Modeling

Çelik, Turgay; Tjahjadi, Tardi

doi:10.1109/tip.2011.2162419

Cited by 214 publications

(153 citation statements)

References 23 publications

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“…These four LIDE variations were compared against other existing techniques namely the dynamic histogram equalization (DHE) [21], the multi-histogram equalization (MHE) [12], the exposure-based sub image histogram equalization (ESIHE) [16], the brightness preserving histogram equalization with maximum entropy (BPHEME) [23], the flattest histogram specification with accurate brightness preservation (FHSABP) [24], and the histogram equalization with GMM (HEGMM) [29]. These techniques rely on the global histogram.…”

Section: Methodsmentioning

confidence: 99%

“…Once partitioned, HEGMM constructs the mapping function such that the CDF of the distribution in the output interval is preserved. Our implementation of HEGMM also relied on the component-wise EM algorithm for mixtures algorithm [30] as used by Celik and Tjahjadi [29]. By default, the mixture model was initialized with 20 components.…”

Section: Methodsmentioning

confidence: 99%

“…Indeed, to measure the local detail enhancement, previous works rely on the edgebased contrast measure (EBCM) [29,31]. EBCM is defined as function of the following edge-based contrast:…”

Section: Ebcmmentioning

confidence: 99%

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Image enhancement using local intensity distribution equalization

Marukatat

2015

J Image Video Proc.

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This paper proposes a local intensity distribution equalization (LIDE) method for image enhancement. LIDE applies the idea of histogram equalization to parametric model in order to enhance an image using local information. It reduces the amount of computational resources required by traditional method like the adaptive histogram equalization, but allows enhancing detail similar to the latter technique. Integral image was used to efficiently estimate local statistics needed by the parametric model. This data structure drastically reduces the computational cost especially for megapixel image where a large local window is preferred. It should be noted that, with a large local window, the intensity distribution could contain multiple peaks. LIDE can nicely handle such complex distribution via mixture of parametric models. To speed-up the mixture parameter estimation, we propose an EM algorithm that is also based on the integral image data structure. Experimental results show that LIDE produces an enhanced image with greater detail and lower noise compared to several existing methods.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Image enhancement using local intensity distribution equalization

Marukatat

2015

J Image Video Proc.

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“…Celik and Tjahjadi have recently proposed an adaptive image equalization algorithm [30] where the input histogram is first transformed into a Gaussian mixture model and then the intersection points of Gaussian components are used to partition the dynamic range of the image. This technique may not enhance very low illuminated images [31].…”

Section: Literature Reviewmentioning

confidence: 99%

An adaptive gamma correction for image enhancement

Rahman

Abdullah-Al-Wadud

et al. 2016

J Image Video Proc.

264

123

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Due to the limitations of image-capturing devices or the presence of a non-ideal environment, the quality of digital images may get degraded. In spite of much advancement in imaging science, captured images do not always fulfill users' expectations of clear and soothing views. Most of the existing methods mainly focus on either global or local enhancement that might not be suitable for all types of images. These methods do not consider the nature of the image, whereas different types of degraded images may demand different types of treatments. Hence, we classify images into several classes based on the statistical information of the respective images. Afterwards, an adaptive gamma correction (AGC) is proposed to appropriately enhance the contrast of the image where the parameters of AGC are set dynamically based on the image information. Extensive experiments along with qualitative and quantitative evaluations show that the performance of AGC is better than other state-of-the-art techniques.

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“…Tone-mapping function of images in Fig. 4 제안하는 방법과 기존의 방법에 대한 성능을 주 관적인 평가 외에 객관적인 지표로 비교하기 위해 서 EBCM (edge-based contrast measure) [9] 과 GSD 표 1. EBCM과 GSD 객관적 지표 비교 (global standard deviation) [ …”

Section: ⅳ 실험 및 결과 분석unclassified

Perception-Based Tone Mapping Technique for Rendering HDR Image Using Histogram Modification

Kim¹,

2013

The Journal of Korea Information and Communications Society

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In this paper, we present a perception-based tone mapping technique using histogram modification for displaying high dynamic range image. HDR (high dynamic range) tone mapping algorithms are used to display HDR image on LDR (low dynamic rnage) devices. Although perception-based tone mapping methods provides better performance, it dose not always produce good results for a wide variety of images. The proposed method reduces dynamic range by using the perception-based tone mapping function and histogram modification. A derivative of perception-based tone mapping function is used as constraint function of histogram and additional compensation process is performed. This method not only improves contrast by adopting different constraints on each pixel value, but also preserves more visual details. In order to prevent over enhancement, histogram modification technique is applied. Furthermore, it can control the rate of image contrast using control parameters.Subjective and objective evaluations show that proposed algorithm is better than existing algorithms.First Author：한양대학교 전자컴퓨터통신공학과 영상통신 및 신호처리 연구실,

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Automatic Image Equalization and Contrast Enhancement Using Gaussian Mixture Modeling

Cited by 214 publications

References 23 publications

Image enhancement using local intensity distribution equalization

Image enhancement using local intensity distribution equalization

An adaptive gamma correction for image enhancement

Perception-Based Tone Mapping Technique for Rendering HDR Image Using Histogram Modification

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