Download Image Restoration: Fundamentals and Advances by Bahadir Kursat Gunturk, Xin Li PDF

By Bahadir Kursat Gunturk, Xin Li

ISBN-10: 1439869553

ISBN-13: 9781439869550

Image recovery: basics and Advances responds to the necessity to replace such a lot current references at the topic, a lot of that have been released many years in the past. supplying a large evaluate of photo recovery, this ebook explores breakthroughs in similar set of rules improvement and their function in helping real-world functions linked to quite a few medical and engineering fields. those comprise astronomical imaging, picture enhancing, and clinical imaging, to call quite a few. The booklet examines how such advances may also result in novel insights into the elemental houses of snapshot resources.

Addressing the various advances in imaging, computing, and communications applied sciences, this reference moves simply the correct stability of assurance among middle primary rules and the most recent advancements during this sector. Its content material used to be designed according to the concept that the reproducibility of released works on algorithms makes it more uncomplicated for researchers to construct on every one other’s paintings, which frequently advantages the energy of the technical group as an entire. therefore, this publication is as experimentally reproducible as possible.

Topics coated include:

  • Image denoising and deblurring
  • Different photo recovery equipment and up to date advances akin to nonlocality and sparsity
  • Blind recovery lower than space-varying blur
  • Super-resolution restoration
  • Learning-based methods
  • Multi-spectral and colour photo restoration
  • New probabilities utilizing hybrid imaging systems

Many current references are scattered through the literature, and there's a major hole among the leading edge in picture recovery and what we will be able to study from average snapshot processing textbooks. To fill that want yet keep away from a rehash of the numerous tremendous current books in this topic, this reference makes a speciality of algorithms instead of theories or purposes. Giving readers entry to a large number of downloadable resource code, the ebook illustrates primary concepts, key principles built through the years, and the state-of-the-art in picture recovery. it's a precious source for readers in any respect degrees of understanding.

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Extra resources for Image Restoration: Fundamentals and Advances

Sample text

15, pp. 3736–3745, Dec. 2006. [41] A. Foi, V. Katkovnik, and K. Egiazarian, “Pointwise shape-adaptive DCT for highquality denoising and deblocking of grayscale and color images,” IEEE Transactions on Image Processing, vol. 16, pp. 1395–1411, May 2007. [42] O. G. Guleryuz, “Weighted averaging for denoising over overcomplete dictionaries,” IEEE Transactions on Image Processing, vol. 16, no. 12, pp. 3020–3034, 2007. [43] J. Starck, D. L. Donoho, and E. J. Candes, “The curvelet transform for image denoising,” IEEE Transactions on Image Processing, vol.

Barlow, “Redundancy reduction revisited,” Network: Computation in Neural Systems, vol. 12, pp. 241–253(13), 1 March 2001. [80] E. Simoncelli and B. Olshausen, “Natural image statistics and neural representation,” AnnNeuro, vol. 24, pp. 1193–1216, May 2001. ✐ ✐ ✐ ✐ ✐ ✐ “K13191” — 2012/7/18 — 11:50 ✐ ✐ Chapter 2 Fundamentals of Image Restoration BAHADIR K. 1 Introduction In many imaging applications, the measured image is a degraded version of the true (or original) image that ideally represents the scene.

K13191” — 2012/7/18 — 11:50 ✐ ✐ Chapter 2 Fundamentals of Image Restoration BAHADIR K. 1 Introduction In many imaging applications, the measured image is a degraded version of the true (or original) image that ideally represents the scene. The degradation may be due to (1) atmospheric distortions (including turbulence and aerosol scattering), (2) optical aberrations (such as diffraction and out-of-focus blur), (3) sensor blur (resulting from spatial averaging at photosites), (4) motion blur (resulting from camera shake or the movements of the objects in the scene), and (5) noise (such as shot noise and quantization).

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