Optimized Bezier Curve Based Intensity Mapping Scheme for Low Light Image Enhancement

Veluchamy, Magudeeswaran; Bhandari, Ashish Kumar; Subramani, Bharath

doi:10.1109/tetci.2021.3053253

Cited by 20 publications

(11 citation statements)

References 48 publications

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“…In optimization, the objective function is necessary to determine the optimization problem. The objective function is selected based on the entropy difference between the processed image and the reference image 4 . The objective function (OF) of the optimization problem is defined as

italicOF goodbreak= (||, H ((), I_{r} ((), x, y)) goodbreak- H ((), I_{o} ((), x, y))),

where,

H ((), I_{r} ((), x, y))

denotes the entropy of the reference image and

H ((), I_{o} ((), x, y))

denotes the entropy of the processed output image.…”

Section: Proposed Workmentioning

confidence: 99%

“…The objective function is selected based on the entropy difference between the processed image and the reference image. 4 The objective function (OF) of the optimization problem is defined as…”

Section: Proposed Workmentioning

confidence: 99%

“…The spatial domain approach is mostly applied in image processing applications because of its simplicity of computation and easier implementation. The histogram equalization (HE) is a spatial domain classical technique used to improve the contrast and content of the distorted images 4 . However, the HE may result in under and over enhancement because of its uneven spreading of gray levels.…”

Section: Introductionmentioning

confidence: 99%

“…The histogram equalization (HE) is a spatial domain classical technique used to improve the contrast and content of the distorted images. 4 However, the HE may result in under and over enhancement because of its uneven spreading of gray levels.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Cuckoo search optimization‐based image color and detail enhancement for contrast distorted images

Subramani¹,

Veluchamy²

2022

Color Research & Application

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Researchers have developed various contrast enhancement techniques to provide perceptually good quality images for many vision‐based applications. An exposure‐based optimally weighted gamma correction framework is proposed in this work to overcome the drawback of low contrast and unclear detail in contrast distorted image. At first, the intensities of the input image are expanded and compressed to increase the fine details and reduce the viewable artifacts. The gamma correction and weighted sum approach are then introduced to provide good contrast and natural‐looking images with optimal gamma values. Besides, the cuckoo search algorithm is employed to calculate the optimum value of the gamma function. In this work, the mean squared error is used as the objective function to maximize the information content of the enhanced image. The simulation results reveal the efficiency of the proposed method in enhancing the image for various levels of contrast distortion. Besides, quantitative and qualitative comparisons with the recently published methods demonstrate the superiority of the proposed algorithm in improving details and natural color of the contrast distorted images.

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italicOF goodbreak= (||, H ((), I_{r} ((), x, y)) goodbreak- H ((), I_{o} ((), x, y))),

where,

H ((), I_{r} ((), x, y))

denotes the entropy of the reference image and

H ((), I_{o} ((), x, y))

denotes the entropy of the processed output image.…”

Section: Proposed Workmentioning

confidence: 99%

Section: Proposed Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Cuckoo search optimization‐based image color and detail enhancement for contrast distorted images

Subramani¹,

Veluchamy²

2022

Color Research & Application

Self Cite

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show abstract

“…Calculating the illumination from the image by color space conversion, convolution, or low-pass filtering, and then nonlinearly remapping the estimated illumination is the most intuitive method for illumination equalization. Gamma correction [37,38], Wavelet [39,40], logarithmic mapping [41] and Bezier curve [42] are widely used for nonlinear enhancement of image brightness. These methods have good results for under-exposure images, but they perform poorly for over-exposure image.…”

Section: A Illumination Enhancementmentioning

confidence: 99%

γ Radiation Image Enhancement Method Based on Non-Linear Mapping

et al. 2022

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For the problems of darkness, insufficient contrast, and color cast in the images captured by CMOS image sensors in the γ radiation environment, this paper proposed a joint contrast improvement and color cast correction approach for the γ radiation image enhancement, which improved the image effects from enhancing detail expression and color expression. For the problem of overall darkness of γ radiation image, we firstly utilized the logarithmic mapping to improve the image brightness. Secondly, for the insufficient contrast of image details, a contrast enhancement method with an adaptive Gamma coefficient is proposed, which adaptively adjusts the image brightness at the pixel level, so that the image detail expression is more in line with the human visual characteristics (HVC). Lastly, the color level remapping method is exploited for color cast correction. Extensive experiments are conducted on the γ radiation images collected in the Co60 environment. With the help of the proposed method, we can achieve the best results in quantitative and visual comparison. Experimental results demonstrate that the proposed method enjoys state-of-the-art performance in γ radiation image enhancement.INDEX TERMS γ radiation image, image enhancement, non-linear mapping, contrast improvement, color cast correction.

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Bilateral tone mapping scheme for color correction and contrast adjustment in nearly invisible medical images

Subramani

Veluchamy

2023

Color Research & Application

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Medical images are commonly used to diagnose and screen various diseases. However, medical images taken by operators with different skill levels have a considerable variation in visual quality. Poor illumination of images increases uncertainty in clinical treatment and lead to the risk of misdiagnosis. This paper proposes a novel bilateral tone‐mapped gamma correction to enhance the visual quality of medical images without affecting the natural color quality. First, the proposed tone‐mapped gamma correction is employed to enhance the intensity values of poorly illuminated medical images. Then, bilateral enhancement curve adjustment is performed to effectively improve the global luminance content of the input image with features and richer information. The image quality assessment measures like entropy, blind/reference less image spatial quality evaluator, natural image quality evaluator, perception‐based image quality evaluator, contrast enhancement based image quality parameter, and color contrast fog density evaluates the superior performance of the proposed technique. The experimental results significantly enhance the intensity difference between dark and bright areas and can aid clinical experts and intelligent health fields.

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Optimized Bezier Curve Based Intensity Mapping Scheme for Low Light Image Enhancement

Cited by 20 publications

References 48 publications

Cuckoo search optimization‐based image color and detail enhancement for contrast distorted images

Cuckoo search optimization‐based image color and detail enhancement for contrast distorted images

γ Radiation Image Enhancement Method Based on Non-Linear Mapping

Bilateral tone mapping scheme for color correction and contrast adjustment in nearly invisible medical images

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