Arbitrary-shaped scene text detection is a challenging task due to the variety of changes in font, size, color, and orientation. Most existing regression based methods resort regress masks or contour points regions model instances. However, regressing complete requires high training complexity, are not sufficient capture details highly curved texts. To tackle above limitations, we propose novel...

Abstract This paper proposes a new high-performance Discrete Cosine Transform (DCT) for image and signal processing applications. Generally, DCT has been developed in wide range of applications such as compression motion detection. However, the high complexity required have effectively minimized practical utilization DCT. A New mathematical derivation is achieved this with purpose to reduce its...

The current progressive fusion methods for digital images have poor denoising performance, which leads to a decrease in image quality after fusion. Therefore, new method was proposed based on discrete cosine transform, and its effectiveness verified through experiments. experimental results show that the has PSNR value higher than 42.13 db fusion, both of are comparison method, effect also qual...

This work presents a Multi-Resolution Discrete Cosine Transform (MDCT) fusion technique Fusion Feature-Level Face Recognition Model (FFLFRM) comprising face detection, feature extraction, fusion, and classification. It detects core facial characteristics as well local global features utilizing Local Binary Pattern (LBP) Principal Component Analysis (PCA) extraction. MDCT was applied, followed b...

In this paper, we focus on the restoration of images that have incomplete data in either the image domain or the transformed domain or in both. The transform used can be any orthonormal or tight frame transforms such as orthonormal wavelets, tight framelets, the discrete Fourier transform, the Gabor transform, the discrete cosine transform, and the discrete local cosine transform. We propose an...

Block based transform coding is used to convert spatial pixel values to transform coefficients in the frequency domain. Since a linear transforms is employed in image and video compression, the energy in spatial domain is equal to the energy in the transform domain but the coefficients is compacted into the low frequency area. The convenience is that most of the energy is compacted in a few lar...

-The discrete Legendre transform is compared to the discrete cosine transform (DCT), which is based on Chebyshev polynomials, in terms of image compression efficiency. Using standard test images in various image compression configurations, the DCT is found to perform marginally better than the discrete Legendre transform in all cases examined. A simplified fundamental matrix theory for construc...