In this paper, we propose a novel method of evaluating the complexity of image blocks, which considers multiple neighboring pixels according to the locations of different pixels.
Chuang et al. [11] acquired the VQ indices for an image and then embedded multiple copies of them into other image blocks.
DCT to different image blocks.
My computer has a webcam, my phones have multiple image sensors, my drone has multiple image sensors, my vacuum has an image sensor, my car has image sensors.
DCT algorithm to different image blocks.
The pleasant and unpleasant image blocks were counterbalanced.
Image blocks were randomly interspersed with fixation periods.
Each sheet block commemorates one soldier, showing multiple images of a single family-supplied photograph together with the soldier's name, rank, regiment, age, and death date.
Within several of these nodes, there were large blocks of very detailed text and multiple images supporting the text.
Indeed, multiple sensors produce multiple images.
