What Is the Relation Between Deblurring and Deconvolution in Computer Vision and Image Processing?
Let me present the following Diagram:



So, both Deblurring and Deconvolution are operations within the family of Image Restoration (Which is a subset of Inverse Problem set).

Basically we build the Image Restoration set by different Degradation Models.
The one related to the question are:


Linear Degradation Model
Namely, the degradation is made by a Linear Operator.
Spatially Invariant Model
A Model where the degradation is the same for any place in the image.
We created it as a subset of Linear Model though it doesn't have to be. But for clarity.
Any operator which is both Linear and Spatially Invariant can be defined by a Convolution Operation. Hence it can be reversed by Deconvolution.
Low Pass Operator
A set of images degraded by a Low Pass Filter. Namely by a convolution with a Low Pass Filter.


Now, there is a set of degradation which basically create a blurry image.
Reversing this operation is called Deblurring.
In case the blurring is made by a Low Pass Filter applied by Convolution the Deconvolution of this operation is also a Deblurring process.