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Image processing apparatus and image processing method for inhibiting application of an offset to pixels of an image

專利號(hào)
US11039133B2
公開(kāi)日期
2021-06-15
申請(qǐng)人
SONY CORPORATION(JP Tokyo)
發(fā)明人
Yusuke Miyagi; Yoshitaka Morigami
IPC分類
H04N19/117; H04N19/157; H04N19/176; H04N19/42
技術(shù)領(lǐng)域
image,skip,prediction,offset,in,adaptive,filter,data,section,sao
地域: Tokyo

摘要

A filter processing section 352 performs a filter process for applying an offset to pixels of a decoded image. A filter controller 351 inhibits the offset from being applied to an edge portion depending on occurrence of a transform unit in a transformation skip mode in which orthogonal transformation is not performed on a predicted residual. Furthermore, the filter controller 351 determines whether an offset for gradation adjustment using the decoded image is to be applied in the filter processing section 352 or not, and sets an offset in case the offset is to be applied. It is possible to make less conspicuous in the boundary between a transform unit where orthogonal transformation is performed by the offset for gradation adjustment and the transform unit where orthogonal transformation is skipped. The image quality of the decoded image is restrained from being lowered.

說(shuō)明書(shū)

When the transformation skip process is performed on residual data in case an original image is an image of middle-range components, the transformation skip coefficient is of values illustrated in (d) of FIG. 13. Since a left bit shift process is performed is the transformation skip process so that the quantizing section can quantize the coefficient of the orthogonal transform and the residual data, the transformation skip coefficient illustrated in (d) of FIG. 13 is of values produced when the bit shift process is performed on the residual data illustrated in (c) of FIG. 13. In FIG. 13, illustrates quantized data of the transformation skip coefficient. When the quantized data are dequantized and further inversely orthogonally transformed, decoded residual data illustrated in (f) of FIG. 13 are obtained. Furthermore, decoded image data illustrated in (g) of FIG. 13 are obtained by adding predicted image data to the decoded residual image data. Specifically, the decoded imaged data in case the transformation skip process is performed represent a gradation whose pixel value changes are stepwise, failing to properly reproduce continuous gradation changes, compared with the input image data illustrated in (a) of FIG. 13.

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