Kingsbury, N.: Image processing with complex wavelets. Philos. Trans. R. Soc. Lond. A 357, 2543-2560 (1997)N. G. Kingsbury., "Image processing with complex wavelets", Phil. Trans. Royal Soc. London A, September 1997.N. Kingsbury, Image processing with complex wavelets, Phil. Trans....
Application of Image Coding Using Complex-valued Wavelets复小波在图像编码中的应用The solution on complex-valued wavelet basis and the corresponding construction of complex-valued filter bank are discussed in this paper, the real part of the complex-valued filter bank has linear phase, and its ...
[1998 TSP] Wavelet-based statistical signal processing using hidden Markov models [2001 TIP] Multiscale image segmentation using wavelet-domain hidden Markov models [2002 TMM] Rotation invariant texture characterization and retrieval using steerable wavelet-domain hidden Markov models [2003 TIP] Wavelet-b...
For the fusion of detail layers, the pixels with the largest gradient in IR and VIS detail layers are taken as the fusion result. In image processing, ∇dIR o,s and ∇dIR o,s represent the detail layer gradient in IR and VIS image decomposition, respectively. The fusion strategy can ...
Yao, Z., Rajpoot, N., Wilson, R. (2006). Directional Wavelet Analysis with Fourier-Type Bases for Image Processing. In: Qian, T., Vai, M.I., Xu, Y. (eds) Wavelet Analysis and Applications. Applied and Numerical Harmonic Analysis. Birkhäuser Basel. https://doi.org/10.1007/978-3-...
Kingsbury, N.: Rotation-invariant local feature matching with complex wavelets. Proc. Eur. Conf. Signal Process. (EUSIPCO), (2006) Google Scholar Dinggang, S., Ip, H.H.S.: Discriminative wavelet shape descriptors for recognition of 2-D patterns. Pattern Recogn.32(2), 151–165 (1999) ...
with electronic digital processing, along with limits on data transmission rate and storage capacity, are now the major bottlenecks limiting image data acquisition rates1,2,3,4. In contrast, compact lens designs are capable of resolving greater than 10 gigapixels of transverse resolution5,6, while...
enhancing low-light images using reinforcement learning. This approach combines tree-search theory with deep reinforcement learning to generate sequences of editing operations for processing low-quality images [5]. The method proposed in this paper, eXIE, can replicate the results of other methods, ...
In this paper, three hardware efficient architectures to perform multi-level 2-D discrete wavelet transform (DWT) using lifting (5, 3) and (9, 7) filters are presented. They are classified as folded multi-level architecture (FMA), pipelined multi-level a
Decomposing the image at various levels by using Discrete Wavelet Transform (DWT) or Dual-Tree Complex Wavelet Transform (DT-CWT), then SPIHT algorithm are used to encode the larger magnitude coefficients of insignificant regions of an image with less number of bits. The performance of this ...