Image compression using adaptive multiresolution image decomposition algorithm

Alkishriwo, Osama A. S.

doi:10.1049/iet-ipr.2019.1699

Cited by 10 publications

(7 citation statements)

References 27 publications

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“…High-frequency components can be obtained by polynomial interpolation, and there is a prerequisite for the acquisition of low-frequency components, that is to keep the high-order moment and mean value of the original signal unchanged. e improvement scheme can be divided into the following three steps: splitting, prediction, and updating [15], and the process is shown in Figure 2.…”

Section: Retrieval Algorithm Of Clothing Image Database Based Onmentioning

confidence: 99%

[Retracted] Research on Clothing Image Database Retrieval Algorithm Based on Wavelet Transform

Cui

2022

Journal of Mathematics

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Aiming at the problems of low image data retrieval accuracy and slow retrieval speed in the existing image database retrieval algorithms, this paper designs a clothing image database retrieval algorithm based on wavelet transform. Firstly, it represents the color consistency vector of clothing image, reflects the composition and distribution of image color through color histogram, quantifies the visual features of clothing image, aggregates them into a fixed size representation vector, and uses the Fair Value (FV) model to complete the collection of clothing image data. Then, the size of the clothing image is adjusted by using the size transformation technology, and the clothing pattern is divided into four moments with the same size. On this basis, the clothing image is discretized with the help of Hu invariant moment to complete the preprocessing of clothing image data. Finally, the generating function of wavelet transform is determined, and a cluster of functions is obtained through translation and expansion. The wavelet filter is decomposed into basic modules, and then, the wavelet transform is studied step by step. The clothing image data are regarded as a signal, split, predicted, and updated and input into the wavelet model, and the retrieval research of clothing image database is completed. The experimental results show that the design of the retrieval algorithm is reasonable, the retrieval data accuracy is high, and the retrieval speed is fast.

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Section: Retrieval Algorithm Of Clothing Image Database Based Onmentioning

confidence: 99%

[Retracted] Research on Clothing Image Database Retrieval Algorithm Based on Wavelet Transform

Cui

2022

Journal of Mathematics

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“…Alkishriwo proposed an adaptive multi-resolution image decomposition strategy to optimize image compression without reducing image quality, which conducted multi-resolution decomposition in different directions. The designed method performed excellently compression ratio, bringing new solutions to the image compression [12]. Tade and Vyas proposed a hybrid depth classifier to classify tone mapped images in various visualization applications.…”

Section: Related Workmentioning

confidence: 99%

Art Image Style Conversion Based on Multi-Scale Feature Fusion Network

Li,

Zhu

2024

IJCAI

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“…e test structure demonstrates that the algorithm's speed is greatly increased, as is the accuracy of picture tracking, but it does not cause the image to have a diverse effect. e work of [12] proposed a decomposition algorithm of two-dimensional local values. e decomposition algorithm of two-dimensional local value can decompose the oil painting source image into many components of the two-dimensional production function.…”

Section: Related Workmentioning

confidence: 99%

An Optimized Digital Image Processing Algorithm for Digital Oil Painting

Tang

2022

Mobile Information Systems

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Human civilization’s accomplishments have grown with the passage of time and the advancement of society. With the fast growth of computer networks and information technology, the conventional method of information transmission based on words cannot fulfill the demands of people in the current era. As a result, in this age of extensive information and image processing techniques, images as a means of information sharing are becoming increasingly popular. As we know, digital image processing knowledge has a far-reaching impact in the field of artistic creation, among which the creation of oil painting is facing severe challenges. Aiming at the problem that the effect of digital oil painting is not ideal, this paper aims to study digital oil painting by using digital image processing technology. This paper first uses the image edge recognition based on the improved Canny algorithm to detect the edge of the oil painting image, then uses the nonlinear image enhancement algorithm to enhance the effect of the oil painting image, then uses the improved genetic algorithm to segment the image, and finally enlarges the oil painting image to calibrate the color of the oil painting image. Experiments reveal that the proposed approach outperforms existing algorithms in terms of edge detection data integrity, high-quality coefficient index of image enhancement, picture segmentation running time, and the ability to successfully increase the visual effect of oil painting.

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Image compression using adaptive multiresolution image decomposition algorithm

Cited by 10 publications

References 27 publications

[Retracted] Research on Clothing Image Database Retrieval Algorithm Based on Wavelet Transform

[Retracted] Research on Clothing Image Database Retrieval Algorithm Based on Wavelet Transform

Art Image Style Conversion Based on Multi-Scale Feature Fusion Network

An Optimized Digital Image Processing Algorithm for Digital Oil Painting

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