Fast Hue-Preserving Histogram Equalization Methods For Color Image Contrast Enhancement

Menotti, David; Najman, Laurent; Facon, Jacques; Albuquerque, A.

doi:10.5121/ijcsit.2012.4519

Cited by 15 publications

(8 citation statements)

References 24 publications

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“…Taguchi reviewed color systems and color image enhancement methods, and introduced an improved HSI color space [12]. Menotti et al proposed two fast hue-preserving HE methods based on 1D and 2D histograms of RGB color space for color image contrast enhancement [13]. Pierre et al [14] introduced a variational model for the enhancement of color images, and compared their method with the state-of-the-art methods including Nikolova and Steidl's method [15], which is based on their strict ordering algorithm for exact HS [16].…”

Section: Introductionmentioning

confidence: 99%

RGB Color Cube-Based Histogram Specification for Hue-Preserving Color Image Enhancement

2017

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A large number of color image enhancement methods are based on the methods for grayscale image enhancement in which the main interest is contrast enhancement. However, since colors usually have three attributes, including hue, saturation and intensity of more than only one attribute of grayscale values, the naive application of the methods for grayscale images to color images often results in unsatisfactory consequences. Conventional hue-preserving color image enhancement methods utilize histogram equalization (HE) for enhancing the contrast. However, they cannot always enhance the saturation simultaneously. In this paper, we propose a histogram specification (HS) method for enhancing the saturation in hue-preserving color image enhancement. The proposed method computes the target histogram for HS on the basis of the geometry of RGB (rad, green and blue) color space, whose shape is a cube with a unit side length. Therefore, the proposed method includes no parameters to be set by users. Experimental results show that the proposed method achieves higher color saturation than recent parameter-free methods for hue-preserving color image enhancement. As a result, the proposed method can be used for an alternative method of HE in hue-preserving color image enhancement.

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Section: Introductionmentioning

confidence: 99%

RGB Color Cube-Based Histogram Specification for Hue-Preserving Color Image Enhancement

2017

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“…Menotti et al [30] proposed a fast HUE-preserving histogram equalization methods for colour image contrast enhancement. Two fast hue-preserving HE methods based on 1D and 2D histograms of the RGB colour space for image contrast enhancement were proposed in this work.…”

Section: Other Contrast Enhancement Methodsmentioning

confidence: 99%

Colour-Preserving Contrast Enhancement Algorithm for Images

Ojo

Solomon

Adeniran

2016

Emerging Trends and Advanced Technologies for Computational Intelligence

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Conventional contrast enhancement techniques often fail to produce satisfactory results for low-contrast images, and cannot be automatically applied to different images because their processing parameters must be specified manually to produce a satisfactory result for a given image. This work presents a colourpreserving contrast enhancement (CPCE) algorithm for images. Modification to images was performed in the HSV colour-space. The Hue component is preserved (unchanged), luminance modified using Contrast Limited Adaptive Histogram Equalization (CLAHE), while Saturation components were up-scaled using a derived mapping function on the approximate components of its discrete wavelet transform. Implementation was done in MATLAB and compared with CLAHE and Histogram Equalization (HE) algorithms in the RGB colour space. Subjective (visual quality inspection) and objective parameters (Peak-signal-to-noise ratio (PSNR), Absolute Mean Brightness Error (AMBE) and Mean squared error (MSE)) were used for performance evaluation. The method produced images with the lowest MSE, AMBE, and highest PSNR when tested, yet preserved the visual quality of the image.

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“…This problem motivates the development of contrast‐preserving image dynamic range compression algorithms to preserve image contrast during range compression. To achieve this purpose, several sophisticated algorithms have been proposed in the literature based on Retinex theory [1–4], Bayesian framework [5, 6], tone‐mapping operation [7–10], or non‐linear image enhancement [11–13]. However, these algorithms are computationally expensive without hardware considerations and thus are only suitable for software implementation.…”

Section: Introductionmentioning

confidence: 99%

Low‐cost and high‐speed hardware implementation of contrast‐preserving image dynamic range compression for full‐HD video enhancement

Tsai

2015

IET Image Processing

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This study presents a cost-efficient and high-performance field programmable gate array (FPGA)-based hardware implementation of a contrast-preserving image dynamic range compression algorithm, which is an important function used in modern digital video cameras and displays to improve visual quality of standard dynamic range colour images (8 bits/channel). To achieve this purpose, a hardware-friendly approximation to an existing fast dynamic range compression with local contrast preservation (FDRCLCP) algorithm is proposed. The computation of the proposed approximated FDRCLCP algorithm requires only fixed-point unsigned binary addition, multiplication, and bitshifting. Moreover, the proposed hardware implementation uses a line buffer instead of a frame buffer to process whole image data. These advantages significantly improve throughput performance and reduce memory requirement of the system. The FPGA implementation of the proposed algorithm requires only about 98 K bits on-chip memory and achieves about 170.24 MHz operating frequency by using an Altera Cyclone II device. This is a large improvement compared with the existing results as it is quick enough to process full high-definition videos (1920 × 1080 pixels) at least 80 frames per second using a low-cost FPGA device.

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Fast Hue-Preserving Histogram Equalization Methods For Color Image Contrast Enhancement

Cited by 15 publications

References 24 publications

RGB Color Cube-Based Histogram Specification for Hue-Preserving Color Image Enhancement

RGB Color Cube-Based Histogram Specification for Hue-Preserving Color Image Enhancement

Colour-Preserving Contrast Enhancement Algorithm for Images

Low‐cost and high‐speed hardware implementation of contrast‐preserving image dynamic range compression for full‐HD video enhancement

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