A Post-Processing Algorithm for Spatial Domain Detection & Removal of Blocking Artifacts
Anudeep Gandam1, Jagroop Singh Sidhu2

1Anudeep Gandam, ECE, Ph.D Research Scholar, IKG-Punjab Technical university, Jalandhar, India.
2Dr. Jagroop Singh Sidhu, ECE, DAVIET, Jalandhar, India.

Manuscript received on 06 August 2019 | Revised Manuscript received on 12 August 2019 | Manuscript published on 30 August 2019 | PP: 2968-2977 | Volume-8 Issue-10, August 2019 | Retrieval Number: J11310881019/2019©BEIESP | DOI: 10.35940/ijitee.J1131.0881019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Block based Discrete Cosine Transform (BDCT) is commonly used to detect and remove blocking artifacts in the compressed images. We proposed spatial domain post processing algorithm with four fold model. In the initial stage, pixel vector (PV) is calculated for horizontal as well as vertical block boundaries, after defining PV calculation of different threshold values is made for extracting blocking artifacts. These thresholds are basically adaptive to the image quality due to strong correlation with the PV. To avoid ringing artifacts across block edges directional filter is proposed. Our research further worked on region classification based upon activity of PV within the blocks. Based upon different PV activity regions separate filters are used to achieve best filtering and finally Symmetrical Pixel Normalization filter (SPN Filter) is used to normalize the values of symmetrical pixel value for better visual performance. Proposed technique various indices like PSNR, MSSIM, GBIM are calculated and compare with different post processing techniques used in literature Keywords: BDCT, Blocking Artifacts, GBIM, PSNRB, SPNF.
Scope of the Article: Signal and Speech Processing