scholarly journals A Coordinate Displacement Compensation Based Quality Enhancement Method for Chroma Subsampling and Upsampling on VVC

2021 ◽  
Author(s):  
Kuo-Liang Chung ◽  
Chen-Wei Kao
Keyword(s):  
Color Image ◽  
Research Direction ◽  
Quality Enhancement ◽  
Coding System ◽  
Server Side ◽  
Full Color ◽  
Screen Content ◽  
Enhancement Method ◽  
Client Side

<div>Prior to encoding an input RGB full-color image I<sup>RGB</sup>, at the server side, performing chroma subsampling on the converted chroma image is a necessary step. After receiving the decompressed subsampled chroma image and luma</div><div>image at the client side, performing chroma upsampling is also a necessary step for reconstructing the RGB full-color image. In this paper, we consider seven commonly used chroma subsampling methods, denoted by C<sub>s</sub>, and four widely used chroma upsampling methods, denoted by C<sub>u</sub>. For each combination c<sub>s</sub>-c<sub>u</sub> in C<sub>s</sub>xC<sub>u</sub>, we first utilize the moment balance law to analyze the coordinate displacement (CD) bias problem occurring in c<sub>s</sub>. Next, for the combination c<sub>s</sub>-c<sub>u</sub>, we analyze the CD bias problem occurring in the transition from the server side to the client side. Then, we explain why the CD bias problem degrades the quality of the reconstructed RGB full-color images in the current coding system. To remedy this CD bias problem, a CD compensationbased (CDC-based) quality enhancement method is proposed to improve the quality of the reconstructed images. To the best of our knowledge, this is the first work in this research direction. Based on the IMAX, Kodak, SCI (screen content images), and Video datasets, the comprehensive experimental results have demonstrated that on the newly released versatile video coding (VVC) platform VTM-12.0, the proposed CDC-based quality enhancement method in our augmented coding system can achieve substantial quality improvement for 17 combinations in C<sub>s</sub>xC<sub>u</sub>.</div>

scholarly journals A Coordinate Displacement Compensation Based Quality Enhancement Method for Chroma Subsampling and Upsampling on VVC

2021 ◽  
Author(s):  
Kuo-Liang Chung
Keyword(s):  
Color Image ◽  
Research Direction ◽  
Quality Enhancement ◽  
Coding System ◽  
Server Side ◽  
Full Color ◽  
Screen Content ◽  
Enhancement Method ◽  
Client Side

<div>Prior to encoding an input RGB full-color image I<sup>RGB</sup>, at the server side, performing chroma subsampling on the converted chroma image is a necessary step. After receiving the decompressed subsampled chroma image and luma</div><div>image at the client side, performing chroma upsampling is also a necessary step for reconstructing the RGB full-color image. In this paper, we consider seven commonly used chroma subsampling methods, denoted by C<sub>s</sub>, and four widely used chroma upsampling methods, denoted by C<sub>u</sub>. For each combination c<sub>s</sub>-c<sub>u</sub> in C<sub>s</sub>xC<sub>u</sub>, we first utilize the moment balance law to analyze the coordinate displacement (CD) bias problem occurring in c<sub>s</sub>. Next, for the combination c<sub>s</sub>-c<sub>u</sub>, we analyze the CD bias problem occurring in the transition from the server side to the client side. Then, we explain why the CD bias problem degrades the quality of the reconstructed RGB full-color images in the current coding system. To remedy this CD bias problem, a CD compensationbased (CDC-based) quality enhancement method is proposed to improve the quality of the reconstructed images. To the best of our knowledge, this is the first work in this research direction. Based on the IMAX, Kodak, SCI (screen content images), and Video datasets, the comprehensive experimental results have demonstrated that on the newly released versatile video coding (VVC) platform VTM-12.0, the proposed CDC-based quality enhancement method in our augmented coding system can achieve substantial quality improvement for 17 combinations in C<sub>s</sub>xC<sub>u</sub>.</div>

scholarly journals A Coordinate Displacement Compensation Based Quality Enhancement Method for Chroma Subsampling and Upsampling on VVC

2021 ◽  
Author(s):  
Kuo-Liang Chung ◽  
Chen-Wei Kao
Keyword(s):  
Color Image ◽  
Research Direction ◽  
Quality Enhancement ◽  
Coding System ◽  
Server Side ◽  
Full Color ◽  
Screen Content ◽  
Enhancement Method ◽  
Client Side

<div>Prior to encoding an input RGB full-color image I<sup>RGB</sup>, at the server side, performing chroma subsampling on the converted chroma image is a necessary step. After receiving the decompressed subsampled chroma image and luma</div><div>image at the client side, performing chroma upsampling is also a necessary step for reconstructing the RGB full-color image. In this paper, we consider seven commonly used chroma subsampling methods, denoted by C<sub>s</sub>, and four widely used chroma upsampling methods, denoted by C<sub>u</sub>. For each combination c<sub>s</sub>-c<sub>u</sub> in C<sub>s</sub>xC<sub>u</sub>, we first utilize the moment balance law to analyze the coordinate displacement (CD) bias problem occurring in c<sub>s</sub>. Next, for the combination c<sub>s</sub>-c<sub>u</sub>, we analyze the CD bias problem occurring in the transition from the server side to the client side. Then, we explain why the CD bias problem degrades the quality of the reconstructed RGB full-color images in the current coding system. To remedy this CD bias problem, a CD compensationbased (CDC-based) quality enhancement method is proposed to improve the quality of the reconstructed images. To the best of our knowledge, this is the first work in this research direction. Based on the IMAX, Kodak, SCI (screen content images), and Video datasets, the comprehensive experimental results have demonstrated that on the newly released versatile video coding (VVC) platform VTM-12.0, the proposed CDC-based quality enhancement method in our augmented coding system can achieve substantial quality improvement for 17 combinations in C<sub>s</sub>xC<sub>u</sub>.</div>

scholarly journals An Effective Bicubic Convolution Interpolation-Based Iterative Luma Optimization for Enhancing Quality in Chroma Subsampling

2021 ◽  
Author(s):  
Kuo-Liang Chung ◽  
Chih-Yuan Huang ◽  
Chen-Wei Kao
Keyword(s):  
Iterative Method ◽  
Color Image ◽  
State Of The Art ◽  
Linear Interpolation ◽  
Distortion Function ◽  
Full Color ◽  
Screen Content ◽  
Modification Method ◽  
Convex Property

<div>Traditionally, prior to compressing an RGB full-color image, for each converted 2x2 CbCr block B<sup>CbCr</sup>, chroma subsampling only downsamples B<sup>CbCr</sup>, but without changing the luma block B<sup>Y</sup> at all. In the current research, a special linear interpolation-based, namely the COPY-based, chroma subsampling-first luma modification (CSFLM) study has attempted to change the luma block for enhancing the quality of the reconstructed RGB full-color image. In this paper, a fast and effective nonlinear interpolation, namely the bicubic convolution interpolation (BCI), based iterative luma modification method for CSFLM is proposed. In our iterative method, a BCI-based distortion function and its convex property proof are first provided. Next, based on the proposed convex distortion function, a pseudoinverse technique is applied to obtain the initial luma modification solution, and then an iterative method is proposed to improve the initial luma modification solution. Based on five testing image datasets, namely the IMAX, Kodak, SCI (screen content images), CI (classical images), and Video datasets, the thorough experimental results have demonstrated that on the newly released Versatile Video Coding (VVC) platform VTM-12.0, our iterative luma modification method achieves substantial quality, execution-time, and quality-bitrate tradeoff improvements when compared with the existing state-of-the-art methods.</div>

scholarly journals An Effective Bicubic Convolution Interpolation-Based Iterative Luma Optimization for Enhancing Quality in Chroma Subsampling

2021 ◽  
Author(s):  
Kuo-Liang Chung ◽  
Chih-Yuan Huang ◽  
Chen-Wei Kao
Keyword(s):  
Iterative Method ◽  
Color Image ◽  
State Of The Art ◽  
Linear Interpolation ◽  
Distortion Function ◽  
Full Color ◽  
Screen Content ◽  
Modification Method ◽  
Convex Property

<div>Traditionally, prior to compressing an RGB full-color image, for each converted 2x2 CbCr block B<sup>CbCr</sup>, chroma subsampling only downsamples B<sup>CbCr</sup>, but without changing the luma block B<sup>Y</sup> at all. In the current research, a special linear interpolation-based, namely the COPY-based, chroma subsampling-first luma modification (CSFLM) study has attempted to change the luma block for enhancing the quality of the reconstructed RGB full-color image. In this paper, a fast and effective nonlinear interpolation, namely the bicubic convolution interpolation (BCI), based iterative luma modification method for CSFLM is proposed. In our iterative method, a BCI-based distortion function and its convex property proof are first provided. Next, based on the proposed convex distortion function, a pseudoinverse technique is applied to obtain the initial luma modification solution, and then an iterative method is proposed to improve the initial luma modification solution. Based on five testing image datasets, namely the IMAX, Kodak, SCI (screen content images), CI (classical images), and Video datasets, the thorough experimental results have demonstrated that on the newly released Versatile Video Coding (VVC) platform VTM-12.0, our iterative luma modification method achieves substantial quality, execution-time, and quality-bitrate tradeoff improvements when compared with the existing state-of-the-art methods.</div>

Analysis of color Image Enhancement Using DWT, Wavelet Shrinkageand FHE Methods

2017 ◽  
Vol 7 (8) ◽  
pp. 56
Author(s):  
Ashish Dwivedi ◽  
Nirupma Tiwari
Keyword(s):  
Image Enhancement ◽  
Color Image ◽  
Human Perception ◽  
Histogram Equalization ◽  
Wavelet Shrinkage ◽  
Visual Appearance ◽  
Enhancement Method ◽  
Fuzzy Histogram ◽  
Rgb Image

Image enhancement (IE) is very important in the field where visual appearance of an image is the main. Image enhancement is the process of improving the image in such a way that the resulting or output image is more suitable than the original image for specific task. With the help of image enhancement process the quality of image can be improved to get good quality images so that they can be clear for human perception or for the further analysis done by machines.Image enhancement method enhances the quality, visual appearance, improves clarity of images, removes blurring and noise, increases contrast and reveals details. The aim of this paper is to study and determine limitations of the existing IE techniques. This paper will provide an overview of different IE techniques commonly used. We Applied DWT on original RGB image then we applied FHE (Fuzzy Histogram Equalization) after DWT we have done the wavelet shrinkage on Three bands (LH, HL, HH). After that we fuse the shrinkage image and FHE image together and we get the enhance image.

scholarly journals Effective Three-Stage Demosaicking Method for RGBW CFA Images Using The Iterative Error-Compensation Based Approach

Sensors ◽  
2020 ◽  
Vol 20 (14) ◽  
pp. 3908
Author(s):  
Kuo-Liang Chung ◽  
Tzu-Hsien Chan ◽  
Szu-Ni Chen
Keyword(s):  
Error Compensation ◽  
Color Image ◽  
Ground Truth ◽  
Input Image ◽  
Previous Method ◽  
Color Filter ◽  
Second Stage ◽  
Full Color ◽  
Iterative Error

As the color filter array (CFA)2.0, the RGBW CFA pattern, in which each CFA pixel contains only one R, G, B, or W color value, provides more luminance information than the Bayer CFA pattern. Demosaicking RGBW CFA images I R G B W is necessary in order to provide high-quality RGB full-color images as the target images for human perception. In this letter, we propose a three-stage demosaicking method for I R G B W . In the first-stage, a cross shape-based color difference approach is proposed in order to interpolate the missing W color pixels in the W color plane of I R G B W . In the second stage, an iterative error compensation-based demosaicking process is proposed to improve the quality of the demosaiced RGB full-color image. In the third stage, taking the input image I R G B W as the ground truth RGBW CFA image, an I R G B W -based refinement process is proposed to refine the quality of the demosaiced image obtained by the second stage. Based on the testing RGBW images that were collected from the Kodak and IMAX datasets, the comprehensive experimental results illustrated that the proposed three-stage demosaicking method achieves substantial quality and perceptual effect improvement relative to the previous method by Hamilton and Compton and the two state-of-the-art methods, Kwan et al.’s pansharpening-based method, and Kwan and Chou’s deep learning-based method.

Color Medical Image Enhancement Using Y-H Model and Wavelet Homomorphic Filtering

2013 ◽  
Vol 411-414 ◽  
pp. 1020-1024
Author(s):  
Hua Liang ◽  
Zhen Tao Zhou ◽  
Hao Feng ◽  
Li Jun Ding ◽  
Ju Ping Gu ◽  
...  
Keyword(s):  
Image Enhancement ◽  
Medical Image ◽  
Color Image ◽  
Color Space ◽  
Inverse Transformation ◽  
Homomorphic Filtering ◽  
Enhancement Method ◽  
Rgb Color Space ◽  
Medical Image Enhancement

Color medical images are widely used in the field of medical diagnosis. Image enhancement is one of the most important pretreatment methods which can enhance the quality of images. In this paper, a novel color image enhancement method using Y-H model and wavelet homomorhpic filtering is put forward. The chromaticity numbers matrix and intensity numbers matrix of color images are get using Young-Helmholtz (YH) transform. The chromaticity numbers matrix remains unchanged. Wavelet homomorphic filtering method is used to process intensity numbers matrix . The enhanced intensity numbers matrix and formerly chromaticity numbers matrix are processed by Y-H inverse transformation and disply in RGB color space. The method put forward in the paper is successfully used in color medical image enhancement. Experimental results show that the method have characteristics of nondistortion, better visual effect.

Analysis and modification of graphic data compression algorithms

2020 ◽  
Vol 25 (4) ◽  
pp. 32-40
Author(s):  
Bouza M.K. ◽  
Keyword(s):  
Color Image ◽  
Jpeg 2000 ◽  
Black And White ◽  
Advantages And Disadvantages ◽  
Graphic Data ◽  
Full Color ◽  
Wide Range ◽  
Site Design ◽  
Lzw Algorithm

The article examines the algorithms for JPEG and JPEG-2000 compression of various graphic images. The main steps of the operation of both algorithms are given, their advantages and disadvantages are noted. The main differences between JPEG and JPEG-2000 are analyzed. It is noted that the JPEG-2000 algorithm allows re-moving visually unpleasant effects. This makes it possible to highlight important areas of the image and improve the quality of their compression. The features of each step of the algorithms are considered and the difficulties of their implementation are compared. The effectiveness of each algorithm is demonstrated by the example of a full-color image of the BSU emblem. The obtained compression ratios were obtained and shown in the corresponding tables using both algorithms. Compression ratios are obtained for a wide range of quality values from 1 to ten. We studied various types of images: black and white, business graphics, indexed and full color. A modified LZW-Lempel-Ziv-Welch algorithm is presented, which is applicable to compress a variety of information from text to images. The modification is based on limiting the graphic file to 256 colors. This made it possible to index the color with one byte instead of three. The efficiency of this modification grows with increasing image sizes. The modified LZW-algorithm can be adapted to any image from single-color to full-color. The prepared tests were indexed to the required number of colors in the images using the FastStone Image Viewer program. For each image, seven copies were obtained, containing 4, 8, 16, 32, 64, 128 and 256 colors, respectively. Testing results showed that the modified version of the LZW algorithm allows for an average of twice the compression ratio. However, in a class of full-color images, both algorithms showed the same results. The developed modification of the LZW algorithm can be successfully applied in the field of site design, especially in the case of so-called flat design. The comparative characteristics of the basic and modified methods are presented.

DYNAMIC REST SERVICES ORCHESTRATION USING THE KNOWLEDGE BASE

2019 ◽  
Author(s):  
Kostyantyn Kharchenko
Keyword(s):  
Knowledge Base ◽  
Service Oriented Architecture ◽  
Main Idea ◽  
The Real ◽  
Server Side ◽  
Service Oriented ◽  
Services Orchestration ◽  
Client Side ◽  
Abstract Operation ◽  
Microservice Architecture

The approach to organizing the automated calculations’ execution process using the web services (in particular, REST-services) is reviewed. The given solution will simplify the procedure of introduction of the new functionality in applied systems built according to the service-oriented architecture and microservice architecture principles. The main idea of the proposed solution is in maximum division of the server-side logic development and the client-side logic, when clients are used to set the abstract computation goals without any dependencies to existing applied services. It is proposed to rely on the centralized scheme to organize the computations (named as orchestration) and to put to the knowledge base the set of rules used to build (in multiple steps) the concrete computational scenario from the abstract goal. It is proposed to include the computing task’s execution subsystem to the software architecture of the applied system. This subsystem is composed of the service which is processing the incoming requests for execution, the service registry and the orchestration service. The clients send requests to the execution subsystem without any references to the real-world services to be called. The service registry searches the knowledge base for the corresponding input request template, then the abstract operation description search for the request template is performed. Each abstract operation may already have its implementation in the form of workflow composed of invocations of the real applied services’ operations. In case of absence of the corresponding workflow in the database, this workflow implementation could be synthesized dynamically according to the input and output data and the functionality description of the abstract operation and registered applied services. The workflows are executed by the orchestrator service. Thus, adding some new functions to the client side can be possible without any changes at the server side. And vice versa, adding new services can impact the execution of the calculations without updating the clients.

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