An Adaptive Global and Local Tone Mapping Algorithm Implemented on FPGA

Ambalathankandy, Prasoon; Ikebe, Masayuki; Yoshida, Takayuki; Shimada, Takehiko; Shinya, Takamaeda; Motomura, Masato; Asai, Tetsuya

doi:10.1109/tcsvt.2019.2931510

Cited by 16 publications

(10 citation statements)

References 28 publications

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“…When you need to divide by 3 when calculating the brightness, one way is to multiply the original sum of the three RGB values by shifting by 3, and then shift the obtained value by 10 bits to the right to realize the shift calculation, to realize the operation of dividing by three; this method is to get an approximate result. Choose the drive parameters of the display to be 95, 160, and 240, respectively [19]. Drive the electron gun with a single-channel value, and measure the tristimulus value of the display and other parameters at the same time.…”

Section: Convert From Rgb Tone Space To Hsi Animation Spacementioning

confidence: 99%

[Retracted] Design and Realization of Animation Composition and Tone Space Conversion Algorithm

Liang

2021

Complexity

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In recent years, with the development of society and the rapid development of the animation industry, people are paying more and more attention to and requirements for animation production. As an indispensable part of animation production, picture composition plays a major role in animation production. It can give full play to the application of color matching and light and shadow design and enhance the depth and space of the animation screen. Tone space conversion refers to the conversion or representation of color data in one color space into corresponding data in another color space. Its purpose is to distinguish and process color components such as hue and saturation in an image. This article first introduces the domestic and foreign research status of digital image preprocessing and analyzes the basic principles of several color space conversions in detail. Then, several color space conversion algorithms are studied, and the performance of the algorithms is compared and analyzed. The paper focuses on the hardware implementation and optimization of the algorithm for converting RGB color space into HSI color space to meet the real-time requirements. This article focuses on the mutual conversion between the RGB tone space and the HSI tone space and describes in detail how each color component in the HSI tone space is converted from the three RGB color components from a geometric perspective, and then the conversion is derived, and several general conversion methods of RGB to HSI tone space are introduced; two conversion methods of geometric derivation method and standard modulus algorithm are implemented in the software, and the comparison verification is carried out, and the comparison is made from the perspective of hardware implementation. The pros and cons of the two methods are discussed. Finally, the paper summarizes the shortcomings in the design and proposes further research directions in the future.

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Section: Convert From Rgb Tone Space To Hsi Animation Spacementioning

confidence: 99%

[Retracted] Design and Realization of Animation Composition and Tone Space Conversion Algorithm

Liang

2021

Complexity

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“…We implemented the local tonemap application similar to one presented by Ambalathankandy et al, 33 as their implementation has a linear O(1) computational complexity and produces output images with fine quality as shown in Fig. 13(b, c).…”

Section: Global Tone Mappingmentioning

confidence: 99%

Warm-cool color-based high-speed decolorization: an empirical approach for tone mapping applications

Ambalathankandy¹,

Ou²,

Ikebe

2021

J. Electron. Imag.

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Grayscale images are fundamental to many image processing applications like data compression, feature extraction, printing and tone mapping. However, some image information is lost when converting from color to grayscale. In this paper, we propose a light-weight and high-speed image decolorization method based on human perception of color temperatures. Chromatic aberration results from differential refraction of light depending on its wavelength. It causes some rays corresponding to cooler colors (like blue, green) to converge before the warmer colors (like red, orange). This phenomena creates a perception of warm colors "advancing" toward the eye, while the cool colors to be "receding" away. In this proposed color to gray conversion model, we implement a weighted blending function to combine red (perceived warm) and blue (perceived cool) channel. Our main contribution is threefold: First, we implement a high-speed color processing method using exact pixel by pixel processing, and we report a 5.7× speed up when compared to other new algorithms. Second, our optimal color conversion method produces luminance in images that are comparable to other state of the art methods which we quantified using the objective metrics (E-score and C2G-SSIM) and subjective user studies (decolorization and tone mapping). Third, we demonstrate that an effective luminance distribution can be achieved using our algorithm by using global and local tone mapping applications.

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“…In addition, Khan et al [42] executed their algorithm on the GPUs and provided a real-time performance report even for the images of huge sizes. Moreover, Ambalathankandy et al [43] executed a local histogram equalization method for tone-mapping on FPGA with poor specifications (i.e., small memory and minimal data access requirements).…”

Section: Main Disadvantagementioning

confidence: 99%

Differential Evolution-based Approach for Tone-Mapping of High Dynamic Range Images

Almaghthawi¹,

Bourennani²,

Rasool³

2020

IJACSA

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Recently, high dynamic range (HDR) imaging has received significant attention from research community as well as the industrial companies due to valuable applications of HDR images in better visualization and analysis. However, HDR images need to be converted to low dynamic range (LDR) images for viewing on standard LDR display screens. Several tonemapping operators have been proposed for the conversion, however, so far, no significant works have been reported employing artificial intelligence to achieve better enhancement of the output images. In this paper, we present an optimizationbased approach, to enhance the quality of the tone-mapped LDR images using metaheuristics. More specifically, the optimization process is based on the differential evolution (DE) algorithm which takes tone-mapping function of an existing histogrambased method as initial guess and refines the histogram bins iteratively leading to progressive enhancement of the quality of LDR image. The final results produced by the proposed optimized histogram-based approach (OHbA) showed better performance compared to the existing state-of-the-art tonemapping algorithms.

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An Adaptive Global and Local Tone Mapping Algorithm Implemented on FPGA

Cited by 16 publications

References 28 publications

[Retracted] Design and Realization of Animation Composition and Tone Space Conversion Algorithm

[Retracted] Design and Realization of Animation Composition and Tone Space Conversion Algorithm

Warm-cool color-based high-speed decolorization: an empirical approach for tone mapping applications

Differential Evolution-based Approach for Tone-Mapping of High Dynamic Range Images

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