Zelda - Detailed Female Hoodie, Golden Wingcrest Patch - M
Zelda - Detailed Female Hoodie, Golden Wingcrest Patch - XL
Zelda - Detailed Female Hoodie, Golden Wingcrest Patch - L
Zelda - Detailed Female Hoodie, Golden Wingcrest Patch - S
Quilting made easy! Do you want to take up quilting but don’t know where to start from? Do you want to learn all the different techniques? Are you looking for some nice quilt patterns for beginners? Then Quilting for Beginners is exactly what you need! This step-by-step guide will provide you with all the information, knowledge, tips, and tricks on how to create the most beautiful and practical quilts. The how-to-quilt book was specially created for beginners and people who don’t have time to quilt but still want to learn, so it has detailed yet simple instructions, project ideas, advice, and even the brief history of quilting! After listening to this comprehensive guide, you will know all about: The different quilting techniques (free motion quilting, quilting by hand, machine quilting) Time-saving tips for quilting on the go How to choose the right fabric and tools Three complete quilt patterns: Quilt-as-you-go table runner, Rail fence lap quilt, and Double four-patch baby quilt Step-by-step instructions for all three quilts 1. Language: English. Narrator: Betty Johnston. Audio sample: http://samples.audible.de/bk/acx0/124763/bk_acx0_124763_sample.mp3. Digital audiobook in aax.
This unique text/reference presents a detailed review of noise removal for photographs and video. An international selection of expert contributors provide their insights into the fundamental challenges that remain in the field of denoising, examining how to properly model noise in real scenarios, how to tailor denoising algorithms to these models, and how to evaluate the results in a way that is consistent with perceived image quality. The book offers comprehensive coverage from problem formulation to the evaluation of denoising methods, from historical perspectives to state-of-the-art algorithms, and from fast real-time techniques that can be implemented in-camera to powerful and computationally intensive methods for off-line processing. Topics and features: describes the basic methods for the analysis of signal-dependent and correlated noise, and the key concepts underlying sparsity-based image denoising algorithms; reviews the most successful variational approaches for image reconstruction, and introduces convolutional neural network-based denoising methods; provides an overview of the use of Gaussian priors for patch-based image denoising, and examines the potential of internal denoising; discusses selection and estimation strategies for patch-based video denoising, and explores how noise enters the imaging pipeline; surveys the properties of real camera noise, and outlines a fast approximation of nonlocal means filtering; proposes routes to improving denoising results via indirectly denoising a transform of the image, considering the right noise model and taking into account the perceived quality of the outputs. This concise and clearly written volume will be of great value to researchers and professionals working in image processing and computer vision. The book will also serve as an accessible reference for advanced undergraduate and graduate students in computer science, applied mathematics, and related fields.