1 / 17

An Efficient Method for DCT-Domain Image Resizing with Mixed Field/Frame-Mode Macroblocks

An Efficient Method for DCT-Domain Image Resizing with Mixed Field/Frame-Mode Macroblocks. Changhoon Yim and Michael A. Isnardi IEEE TRANSACTION ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 9, NO. 5, AUGUST 1999. Outline. Introduction DCT-Domain Image Resizing

tanya-le
Télécharger la présentation

An Efficient Method for DCT-Domain Image Resizing with Mixed Field/Frame-Mode Macroblocks

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. An Efficient Method for DCT-Domain Image Resizing with Mixed Field/Frame-Mode Macroblocks Changhoon Yim and Michael A. Isnardi IEEE TRANSACTION ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 9, NO. 5, AUGUST 1999

  2. Outline • Introduction • DCT-Domain Image Resizing • Decomposition of DCT-Domain Image Resizing Operation • Proposed DCT-Domain Image Resizing Method • Discussion on DCT-Domain Filtering • Experimental Result • Conclusion

  3. Introduction • Many image and video compression standards such as JPEG, MPEG-1, MPEG-2, and H.261 are based on DCT coding techniques. • In MPEG-2, there are field and frame pictures to accommodate coding of progressive and interlaced video. • Previous DCT-domain image resizing methods assume that all macroblocks are in the frame mode.

  4. Field and frame mode of a macroblock in the spatial domain

  5. DCT-Domain Image Resizing : Four Steps • Low-pass filtering in the DCT domain • Inverse DCT • 2 : 1 downsampling • Forward DCT

  6. DCT-Domain Image Resizing : Matrices DCT transform matrix Downsampling matrix Low-pass filter

  7. Decomposition of DCT-Domain Image Resizing Operation

  8. Inverse DCT for a DCT block

  9. Downsampling in the spatial domain

  10. Proposed DCT-Domain Image Resizing Method

  11. Frame- and Field-mode resizing transformation matrices

  12. Discussion on DCT-Domain Filtering (1) • Previous methods are simple low-pass filtering by truncation in DCT domain • The matrix is not equivalent to sharp low-pass filter in DFT domain, and dose not correspond to a liner convolution in the spatial domain • May produce visible aliasing and blocking artifacts • Affect differently the field- and frame-mode in spatial domain may result in serious blocking artifacts between field- and frame-mode macroblocks

  13. Discussion on DCT-Domain Filtering (2) • The implicit low-pass filtering operation as averaging by the downsampling matrices would be a good compromise for block-based DCT-domain image resizing • Would not have any blocking artifact • The filtering characteristics should be the same for field- and frame-mode macroblocks

  14. Experimental Results (1)

  15. Experimental Results (2)

  16. Experimental Results (3)

  17. Conclusion • Propose method can handle field-mode • Avoid the blocking artifacts and the difference in the characteristics between field- and frame-mode macroblocks • Future research could be performed for more efficient for low-pass filtering in the DCT domain for DCT-domain image resizing

More Related