Search Results - "Ponomarenko, N.N."

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  1. 1

    High-Quality DCT-Based Image Compression Using Partition Schemes by Ponomarenko, N.N., Egiazarian, K.O., Lukin, V.V., Astola, J.T.

    Published in IEEE signal processing letters (01-02-2007)
    “…This letter presents an advanced discrete cosine transform (DCT)-based image compression method that combines advantages of several approaches. First, an image…”
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    Journal Article
  2. 2

    An automatic approach to lossy compression of AVIRIS images by Ponomarenko, N.N., Lukin, V.V., Zriakhov, M.S., Kaarna, A., Astola, J.

    “…Lossy compression of AVIRIS hyperspectral images is considered. An automatic approach to selection of compression parameters depending on noise characteristics…”
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    Conference Proceeding
  3. 3

    Cascade fractal image compression and its modification by Ponomarenko, N.N., Egiazarian, K., Lukin, V.V., Astola, J.T.

    “…We propose an approach to fractal image compression that provides fast decoding of the compressed image in one iteration and allows knowing the accurate value…”
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    Conference Proceeding
  4. 4

    An automatic approach to lossy compression of images corrupted by Poisson noise by Lukin, V.V., Zriakhov, M.S., Ponomarenko, N.N., Kaarna, A.

    “…Lossy compression of images corrupted by Poisson noise is considered. Peculiarities on noisy images are discussed. An automatic approach in selection of a…”
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    Conference Proceeding
  5. 5

    Automatic Approaches to On-Land/On-Board Filtering and Lossy Compression of AVIRIS Images by Ponomarenko, N.N., Lukin, V.V., Zriakhov, M.S., Kaarna, A., Astola, J.

    “…Two automatic approaches to lossy compression of hyperspectral AVIRIS images are proposed and considered. A first approach (strategy) is to filter images…”
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    Conference Proceeding
  6. 6

    Lossy compression of images corrupted by mixed Poisson and additive Gaussian noise by Lukin, V.V., Krivenko, S.S., Zriakhov, M.S., Ponomarenko, N.N., Abramov, S.K., Kaarna, A., Egiazarian, K.

    “…Lossy compression of images corrupted by mixed Poisson and additive Gaussian noise is considered. Peculiarities of noise filtering effects observed for two…”
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    Conference Proceeding
  7. 7

    Two-stage methods for mixed noise removal [image denoising] by Lukin, V.V., Koivisto, P.T., Ponomarenko, N.N., Abramov, S.K., Astola, J.T.

    “…Summary form only given. Images are quite often corrupted by mixed additive and impulsive noise. Then, the task in the filtering is to remove both components…”
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    Conference Proceeding
  8. 8

    Improved Noise Parametr Estimation and Filtering of MM-Band SLAR Images by Lukin, V.V., Ponomarenko, N.N., Abramov, S.K., Vozel, B., Chehdi, K.

    “…Blind (automatic) techniques for determination of noise characteristics of Ka- and X-band SLAR images obtained from the Institute of Radiophysics and…”
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    Conference Proceeding
  9. 9

    MM-band radar image wavelet compression with prefiltering by Sabelkin, M.V., Ponomarenko, N.N.

    “…It is known that MM-band radar images are affected by the phenomenon of multiplicative noise. This phenomenon decreases the performance of 2D wavelet transform…”
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    Conference Proceeding
  10. 10

    Comparison of 3-D and 2-D DCT Based Filtering of Multichannel Images by Ponomarenko, N.N., Lukin, V.V., Zelensky, A.A., Koivisto, P.T., Egiazarian, K.O.

    “…A common feature of multichannel images of different origin and spectral bands is that they exhibit a high degree of mutual correlation of their components. At…”
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    Conference Proceeding
  11. 11

    Automatic Design of Locally Adaptive Filters for Pre-processing of Images Subject to Further Interpretation by Lukin, V.V., Ponomarenko, N.N., Zelensky, A.A., Astola, J.T., Egiazarian, K.O.

    “…Locally adaptive filters are widely used in image processing applications. However, their design commonly requires sufficient efforts and does not take into…”
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    Conference Proceeding
  12. 12

    Compression of image block means for non-equal block size partition schemes using Delaunay triangulation and prediction by Ponomarenko, N.N., Egiazarian, K., Lukin, V.V., Astola, J.T.

    “…Summary form only given. An approach based on applying Delaunay triangulation to compression of mean values of image blocks that have non-identical shape and…”
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    Conference Proceeding
  13. 13

    Influence of multiplicative noise variance evaluation accuracy of mm-band SLAR image filtering efficiency by Abramov, S.K., Lukin, W., Ponomarenko, N.N., Egiazarian, K.O., Pogrebnyak, O.B.

    “…Image filtering is a stage commonly implied in remote sensing data processing in order to remove noise. In this paper we pay attention to filtering the images…”
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    Conference Proceeding
  14. 14

    Lossless acceleration of fractal compression using domain and range block local variance analysis by Ponomarenko, N.N., Egiazarian, K., Lukin, V.V., Astola, J.T.

    “…A problem of speeding-up the fractal compression of still images is discussed. The techniques based on analysis of local variance for range blocks and domain…”
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    Conference Proceeding