Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  present a novel pseudo sequence based 2-D hierarchical reference structure for light-field image compression. In the proposed scheme,  first decompose the light-field image into multiple views and organize them into a 2-D coding structure according to the spatial coordinates of the corresponding microlens. Then  mainly develop three technologies to optimize the 2-D coding structure. First,  divide all the views into four quadrants, and all the views are encoded one quadrant after another to reduce the reference buffer size as much as possible. Inside each quadrant, all the views are encoded hierarchically to fully exploit the correlations beten different views. Second,  propose to use the distance beten the current view and its reference views as the criteria for selecting better reference frames for each inter view. Third,  propose to use the spatial relative positions beten different views to achieve more accurate motion vector scaling. The whole scheme is implemented in the reference software of High Efficiency Video Coding. The experimental results demonstrate that the proposed novel pseudo-sequence based 2-D hierarchical structure can achieve maximum 14.2% bit-rate savings compared with the state-of-the-art light-field image compression method.
['Li Li', 'Zhu Li', 'Bin Li', 'Dong Liu', 'Houqiang Li']
I am writing a research paper on a idea Pseudo Sequence Based 2-D Hierarchical Coding Structure for Light-Field Image Compression
[{"from": "human", "value": "I am writing a research paper on a idea Pseudo Sequence Based 2-D Hierarchical Coding Structure for Light-Field Image Compression"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  present a novel pseudo sequence based 2-D hierarchical reference structure for light-field image compression. In the proposed scheme,  first decompose the light-field image into multiple views and organize them into a 2-D coding structure according to the spatial coordinates of the corresponding microlens. Then  mainly develop three technologies to optimize the 2-D coding structure. First,  divide all the views into four quadrants, and all the views are encoded one quadrant after another to reduce the reference buffer size as much as possible. Inside each quadrant, all the views are encoded hierarchically to fully exploit the correlations beten different views. Second,  propose to use the distance beten the current view and its reference views as the criteria for selecting better reference frames for each inter view. Third,  propose to use the spatial relative positions beten different views to achieve more accurate motion vector scaling. The whole scheme is implemented in the reference software of High Efficiency Video Coding. The experimental results demonstrate that the proposed novel pseudo-sequence based 2-D hierarchical structure can achieve maximum 14.2% bit-rate savings compared with the state-of-the-art light-field image compression method."}]