Quantization noise of multilevel discrete wavelet transform filters in image processing
The effect of the quantization noise of the coefficients of discrete wavelet transform (DWT) filters on the image processing result is analyzed. A multilevel DWT method is proposed for determining the effective bit-width of DWT filter coefficients at which quantization noise has little effect on the...
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Pleiades Publishing
2019
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ir-20.500.12258-42402020-07-29T13:13:00Z Quantization noise of multilevel discrete wavelet transform filters in image processing Chervyakov, N. I. Червяков, Н. И. Lyakhov, P. A. Ляхов, П. А. Nagornov, N. N. Нагорнов, Н. Н. Bit-width Digital image processing Discrete wavelet transform Fixedpoint format Quantization noise The effect of the quantization noise of the coefficients of discrete wavelet transform (DWT) filters on the image processing result is analyzed. A multilevel DWT method is proposed for determining the effective bit-width of DWT filter coefficients at which quantization noise has little effect on the image processing result. The dependence of the peak signal-to-noise ratio (PSNR) in DWT of images on the wavelet used, the effective bit-width of the coefficients, and the number of processing levels is revealed. Formulas are derived for determining the minimum bit-width of the coefficients that provide high quality of the processed image (PSNR ≥ 40 dB) depending on the wavelet used and the number of processing levels. Experimental modeling of a multilevel DWT image confirmed the results obtained. In the proposed method, all data are represented in fixed-point format, making possible its hardwareefficient implementation on modern devices (FPGA, ASIC, etc.) 2019-02-11T09:03:19Z 2019-02-11T09:03:19Z 2018 Статья Chervyakov, N.I., Lyakhov, P.A., Nagornov, N.N. Quantization Noise of Multilevel Discrete Wavelet Transform Filters in Image Processing // Optoelectronics, Instrumentation and Data Processing. - 2018. - Volume 54. - Issue 6. - Pages 608-616 https://www.scopus.com/record/display.uri?eid=2-s2.0-85060756885&origin=SingleRecordEmailAlert&dgcid=raven_sc_affil_en_us_email&txGid=58d135af0d053f36264e6dc951667aed http://hdl.handle.net/20.500.12258/4240 en Optoelectronics, Instrumentation and Data Processing application/pdf application/pdf Pleiades Publishing |
| institution |
СКФУ |
| collection |
Репозиторий |
| language |
English |
| topic |
Bit-width Digital image processing Discrete wavelet transform Fixedpoint format Quantization noise |
| spellingShingle |
Bit-width Digital image processing Discrete wavelet transform Fixedpoint format Quantization noise Chervyakov, N. I. Червяков, Н. И. Lyakhov, P. A. Ляхов, П. А. Nagornov, N. N. Нагорнов, Н. Н. Quantization noise of multilevel discrete wavelet transform filters in image processing |
| description |
The effect of the quantization noise of the coefficients of discrete wavelet transform (DWT) filters on the image processing result is analyzed. A multilevel DWT method is proposed for determining the effective bit-width of DWT filter coefficients at which quantization noise has little effect on the image processing result. The dependence of the peak signal-to-noise ratio (PSNR) in DWT of images on the wavelet used, the effective bit-width of the coefficients, and the number of processing levels is revealed. Formulas are derived for determining the minimum bit-width of the coefficients that provide high quality of the processed image (PSNR ≥ 40 dB) depending on the wavelet used and the number of processing levels. Experimental modeling of a multilevel DWT image confirmed the results obtained. In the proposed method, all data are represented in fixed-point format, making possible its hardwareefficient implementation on modern devices (FPGA, ASIC, etc.) |
| format |
Статья |
| author |
Chervyakov, N. I. Червяков, Н. И. Lyakhov, P. A. Ляхов, П. А. Nagornov, N. N. Нагорнов, Н. Н. |
| author_facet |
Chervyakov, N. I. Червяков, Н. И. Lyakhov, P. A. Ляхов, П. А. Nagornov, N. N. Нагорнов, Н. Н. |
| author_sort |
Chervyakov, N. I. |
| title |
Quantization noise of multilevel discrete wavelet transform filters in image processing |
| title_short |
Quantization noise of multilevel discrete wavelet transform filters in image processing |
| title_full |
Quantization noise of multilevel discrete wavelet transform filters in image processing |
| title_fullStr |
Quantization noise of multilevel discrete wavelet transform filters in image processing |
| title_full_unstemmed |
Quantization noise of multilevel discrete wavelet transform filters in image processing |
| title_sort |
quantization noise of multilevel discrete wavelet transform filters in image processing |
| publisher |
Pleiades Publishing |
| publishDate |
2019 |
| url |
https://www.scopus.com/record/display.uri?eid=2-s2.0-85060756885&origin=SingleRecordEmailAlert&dgcid=raven_sc_affil_en_us_email&txGid=58d135af0d053f36264e6dc951667aed https://dspace.ncfu.ru/handle/20.500.12258/4240 |
| work_keys_str_mv |
AT chervyakovni quantizationnoiseofmultileveldiscretewavelettransformfiltersinimageprocessing AT červâkovni quantizationnoiseofmultileveldiscretewavelettransformfiltersinimageprocessing AT lyakhovpa quantizationnoiseofmultileveldiscretewavelettransformfiltersinimageprocessing AT lâhovpa quantizationnoiseofmultileveldiscretewavelettransformfiltersinimageprocessing AT nagornovnn quantizationnoiseofmultileveldiscretewavelettransformfiltersinimageprocessing AT nagornovnn quantizationnoiseofmultileveldiscretewavelettransformfiltersinimageprocessing |
| _version_ |
1760599222931947520 |