Image encoding method, image decoding method, image encoding device, image decoding device, image encoding program, image decoding program, and recording medium

Abstract

Provided are an image encoding device and an image decoding device that allow encoding with a low overall output size while preventing encoding-efficiency degradation in occlusion regions. When encoding a multiview image comprising a plurality of images from different perspectives, this image encoding device, using a reference image from a different perspective from a target image being encoded and a reference depth map for a subject in said reference image, encodes while performing image prediction across different perspectives. Said image encoding device is provided with the following: a combined-perspective-image generation unit that uses the aforementioned reference image and reference depth map to generate a combined-perspective image for the target image; a usability determination unit that, for each encoding region into which the target image has been partitioned, determines whether or not the aforementioned combined-perspective image is usable; and an image encoding unit that performs predictive encoding on the target image while selecting predicted-image generation methods for encoding regions for which the combined-perspective image was determined by the usability determination unit to be unusable.

Description

technical field [0001] The present invention relates to an image encoding method, an image decoding method, an image encoding device, an image decoding device, an image encoding program, an image decoding program, and a recording medium for encoding and decoding multi-viewpoint images. [0002] this application claims priority based on Japanese Patent Application No. 2013-082957 for which it applied to Japan on April 11, 2013, and uses the content here. Background technique [0003] Conventionally, multi-viewpoint images (Multiview images: multi-viewpoint images) composed of a plurality of images in which the same subject and background are captured by a plurality of cameras are known. The video captured by the plurality of cameras is called a multi-view video (or multi-view video). In the following description, an image (moving image) captured by one camera is referred to as a "two-dimensional image (moving image)", and the same image captured by multiple cameras with diff...

AI Technical Summary

Problems solved by technology

[0013] However, the reference frame and the encoding target frame are images captured by cameras at different positions. Therefore, due to the influence of framing and occlusion, there may appear objects that exist in the encoding target frame but do not exist in the reference frame. object, background area

Therefore, in such regions, the view synthesis image cannot provide an appropriate predicted image

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