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Super-Resolution Imaging: Analysis, Algorithms, and Applications

  1. We present a novel hybrid scheme called "hyper-resolution" that integrates image probability-filtering-based interpolation and improved Poisson maximum a posteriori (MAP) super-resolution to respectively enhan...

    Authors: Min-Cheng Pan
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:097492
  2. Two approaches are presented in this paper to improve the quality of digital images over the sensor resolution using super-resolution techniques: iterative super-resolution (ISR) and noniterative super-resolut...

    Authors: Gustavo M. Callicó, Rafael Peset Llopis, Sebastian López, José Fco López, Antonio Núñez, Ramanathan Sethuraman and Roberto Sarmiento
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:084614
  3. We present a novel algorithm for image fusion from irregularly sampled data. The method is based on the framework of normalized convolution (NC), in which the local signal is approximated through a projection ...

    Authors: Tuan Q. Pham, Lucas J. van Vliet and Klamer Schutte
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:083268
  4. We propose a learning-based, single-image super-resolution reconstruction technique using the contourlet transform, which is capable of capturing the smoothness along contours making use of directional decompo...

    Authors: CV Jiji and Subhasis Chaudhuri
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:073767
  5. According to recent advances in digital image processing techniques, interest in high-quality images has been increased. This paper presents a resolution enhancement (RE) algorithm based on the pyramid structu...

    Authors: Bo-Won Jeon, Rae-Hong Park and Seungjoon Yang
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:072520
  6. Super-resolution algorithms reconstruct a high-resolution image from a set of low-resolution images of a scene. Precise alignment of the input images is an essential part of such algorithms. If the low-resolut...

    Authors: Patrick Vandewalle, Sabine Süsstrunk and Martin Vetterli
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:071459
  7. We address the dynamic super-resolution (SR) problem of reconstructing a high-quality set of monochromatic or color super-resolved images from low-quality monochromatic, color, or mosaiced frames. Our approach...

    Authors: Sina Farsiu, Michael Elad and Peyman Milanfar
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:061859
  8. This paper proposes a new approach to subpixel registration, under local/global shifts or rotation, using the phase-difference matrix. We establish the exact relationship between the continuous and the discret...

    Authors: Murat Balci and Hassan Foroosh
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:060796
  9. Optical zooming is an important feature of imaging systems. In this paper, we investigate a low-cost signal processing alternative to optical zooming—synthetic zooming by super-resolution (SR) techniques. Synt...

    Authors: Xin Li
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:058195
  10. We present a novel learning-based framework for zooming and recognizing images of digits obtained from vehicle registration plates, which have been blurred using an unknown kernel. We model the image as an und...

    Authors: Shyamsundar Rajaram, Mithun Das Gupta, Nemanja Petrovic and Thomas S. Huang
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:051306
  11. One critical aspect to achieve efficient implementations of image super-resolution is the need for accurate subpixel registration of the input images. The overall performance of super-resolution algorithms is ...

    Authors: Mejdi Trimeche, Radu Ciprian Bilcu and Jukka Yrjänäinen
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:038052
  12. This paper presents a new method for super-resolution (SR) reconstruction of a high-resolution (HR) image from several low-resolution (LR) images. The HR image is assumed to be composed of homogeneous regions....

    Authors: Fabrice Humblot and Ali Mohammad-Djafari
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:036971
  13. We study the problem of reconstruction of a high-resolution image from several blurred low-resolution image frames. The image frames consist of blurred, decimated, and noisy versions of a high-resolution image...

    Authors: Nirmal K Bose, Michael K Ng and Andy C Yau
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:035726
  14. Most of the available digital color cameras use a single image sensor with a color filter array (CFA) in acquiring an image. In order to produce a visible color image, a demosaicing process must be applied, wh...

    Authors: Miguel Vega, Rafael Molina and Aggelos K Katsaggelos
    Citation: EURASIP Journal on Advances in Signal Processing 2006 2006:025072